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Seeking a skilled AI Prompt Engineer / AI Solutions Specialist with strong expertise in Microsoft Copilot Studio, Azure OpenAI, and Prompt Engineering to design and implement enterprise-grade Generative AI solutions for banking and financial services use cases.

Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. Interested candidates are invited to submit a comprehensive

The Company GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken's seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at or follow us on LinkedIn. The Role We are looking for a Software Engineer to join our team, with a focus on building the next generation of AI-powered developer experiences. In this role, you will help bring agentic workflows and LLM-driven capabilities to life directly inside the tools that millions of developers use every day and you will be using those tools yourself as you build them. You will work across our frontend surfaces to design and ship features that integrate large language models, automate toil, and make GitKraken feel genuinely intelligent. This is a great opportunity to grow your skills in agentic systems, prompt engineering, and developer-facing API design while contributing to a product with deep real-world impact. We are committed to having an inclusive and authentic work environment where unique perspectives, skills, and backgrounds are celebrated. We work hard to foster diversity in our workplace and encourage people from all backgrounds to apply. Even if you don't meet 100% of the requirements, don't let self-filtering and imposter syndrome get in the way of a great fit. We would love to hear from you! What You'll Do • Build and ship AI-powered frontend features that make GitKraken feel like a genuine AI teammate for developers., • Integrate LLM APIs (OpenAI, Anthropic, and others) and agentic frameworks into GitKraken's frontend, designing the UI/UX flows that make complex model interactions feel simple and trustworthy., • Collaborate with backend and platform engineers to define developer-facing APIs that power agentic workflows, surfacing the right data at the right time in the GitKraken interface., • Participate in the planning and technical design of new features, surfacing unanswered questions early and proposing alternatives that align with user goals and architectural constraints., • Write clear, maintainable TypeScript and React code — because this codebase is large, evolving, and used by a global team that values readability as much as performance., • Participate in code reviews, manual testing, and iterative feedback cycles to ensure every release meets the quality bar our users expect. What You'll Bring • Strong programming skills in TypeScript and React, • Build and refine agentic workflows that reason across multiple steps and contexts, • Prompt Engineering: Strong skills in prompt engineering, • Familiarity with LLM APIs and AI-assisted development tools — you've built with them or used them deeply enough to understand their strengths, failure modes, and user experience implications., • An instinct for translating ambiguous product requirements into well-scoped technical plans, with a habit of asking the right questions before writing a line of code., • A solid foundation in computer science fundamentals — data structures, algorithms, and design patterns — that informs how you approach complex UI and data problems., • Collaborate across teams to ensure that AI outputs align with user needs and product goals, • Stay current with the latest generative AI developments and apply them to new use cases Bonus Points • Familiarity with cross-platform desktop application development., • Prior work on developer tools, IDE extensions, or productivity-focused applications., • Contributions to open-source projects or a portfolio of personal projects that demonstrate initiative and craft. How You'll Be Rewarded • 💵 Excellence — Competitive compensation with annual performance-based pay increases, • 🏖 Balance — Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees), • 👶 Parent life — Generous paid parental leave, • 🐶 Pets — Pet insurance plan (with no exclusions), • 🍎 Health — Health, dental, and vision insurance with competitive employer cost-sharing, • 🌵 Headquarters — Modern, fully equipped offices designed to maximize productivity in a hybrid environment, • 🏆 Culture — Great Place to Work Certified, • 📚 Growth — Paid career development opportunities, audiobook subscriptions, and mentorship, • 🔮 Future — 401(k) retirement plan plus company matching, • 🛫 Travel — Company paid domestic trip after your 1-year anniversary & an international trip every 5 years Location This is a hybrid position based in Scottsdale, AZ. This role combines the flexibility of remote work with the benefits of meaningful in-person collaboration. Candidates must reside in or be willing to relocate to the Phoenix area. Equal Employment Opportunity At GitKraken, we believe that diversity among our teammates is critical to our success as a company. GitKraken evaluates all employees and job applicants without regard to race, color, religion, gender (including pregnancy, gender expression, or gender identity), national origin, age, disability status, or any other legally protected class. We recruit, hire, and retain top talent from a diverse candidate pool.

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

We're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their work. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs. We're at an exciting stage of our journey and growing fast. We're serving ___ like Cursor, Clay, Whatnot, and Persona, and aim to 5x our growth by the end of 2026. Dust is a ___ with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so. Dust is seeking a Founding Partnerships Lead to build our partner ecosystem in the UK from scratch. This is a business development role at its core: your job is to identify, engage, and activate the partners who will become a meaningful source of pipeline and revenue for Dust in the UK market. We've proven the partner motion in France (€1.5M+ ARR in under a year, strong SI and reseller traction). Now we need someone to figure out what works in the UK, where the landscape, buyer expectations, and partner ecosystem are fundamentally different. This is a 0-to-1 role. There is no existing UK partner program, no playbook, no team. You'll be the first person on the ground, responsible for building relationships, closing early partnership agreements, and proving that partners can generate real pipeline for Dust. You'll work cross-functionally with Sales, Field Marketing, Growth, Community, the France Partnerships team, and the Executive Team to make this happen. All types of partnerships are in scope: resellers, system integrators, consultancies, agencies, tech alliances, affiliates, community partners, and anything else that drives results. We care about what works, not what fits a predefined category. This role has a path to leadership. As you prove out partner-market fit and demonstrate impact, there will be opportunity to build and lead a UK partnerships team. We're looking for someone who can start as a hands-on builder with the ambition to grow into a team leader. * Build Dust's UK partner ecosystem from zero. Identify, qualify, and recruit the partners best positioned to reach B2B SaaS and Fintech buyers in the UK, across any partner type * Drive partners to pipeline. This isn't about signing logos. Your success is measured by partners generating qualified opportunities, co-selling with Dust AEs, and closing deals. Own the full journey from first conversation to first partner-sourced deal * Develop and test partnership models that work for the UK market. Leverage what exists from France (program tiers, enablement, Wesype as distributor) but be willing to reinvent where the market demands it * Create activation playbooks that take partners from signed agreement to actively selling. Build the training, enablement, and co-selling infrastructure needed to make partners effective * Own UK partnership pipeline and revenue targets, with latitude to experiment with creative deal structures, incentive models, and go-to-market approaches * Work hand-in-hand with UK Sales (AEs and BDRs) to ensure partners are pipeline accelerators. Build deal routing, co-selling motions, and account mapping that the sales team actually uses * Collaborate with Field Marketing (Events, Content, Community) to build joint events, co-branded content, and community activations that serve both partner development and demand generation * Stay tightly connected with the France Partnerships team to share learnings, adapt proven playbooks, and maintain consistency where it matters * Partner with Growth Marketing to turn partner activity into scalable demand: co-hosted webinars, joint case studies, partner-led content, and event-driven pipeline * Coordinate with Product and Engineering on integration priorities, partner feedback, and joint solution development where relevant * 5+ years in partnerships, business development, or channel sales in B2B SaaS. Experience in fintech, developer tools, productivity platforms, or AI/ML is a strong plus * Proven 0-to-1 builder. You've built partner programs or BD motions from scratch, not just managed existing ones. You know what it takes to go from a blank page to real pipeline * Track record of driving revenue through partners. Specific examples where partnerships you built directly drove measurable pipeline, customer acquisition, or closed revenue * Experience working with B2B SaaS and/or Fintech ecosystems in the UK. You understand the landscape: who the key SIs, consultancies, agencies, and ecosystem players are * Cross-functional operating experience. You've worked effectively across Sales, Marketing, Product, and leadership teams in a fast-moving environment * Entrepreneurial and scrappy. You thrive in ambiguity, create structure from scratch, and move fast with limited resources. You're comfortable being a team of one before you're a team of many * Familiarity with the AI/ML landscape and enterprise AI deployment is strongly preferred * Business development instinct. You naturally think about how to turn a relationship into a pipeline source. You're not just a relationship manager; you're a dealmaker * Strategic thinker. You can zoom out to design a program with long-term vision while executing tactical partnerships today * Exceptional relationship builder. You build trust quickly with partners, internal stakeholders, and executives across cultures and time zones * Data-driven. You use metrics to prioritize, make decisions based on evidence, and can clearly report on impact * Strong communicator. Excellent written and verbal skills, comfortable presenting to executives, partners, and cross-functional teams * Existing network in the UK B2B SaaS and Fintech ecosystem (SIs, agencies, consultancies, VCs, community leaders) * Background in AI, developer-first, or API-first companies * Prior experience hiring or mentoring partnerships team members * Understanding of the competitive landscape * Competitive OTE compensation + significant equity package at a Sequoia-backed startup * Health benefits for you and your dependents * New MacBook Pro or Linux machine, monitor, keyboard, etc. * Opportunity to travel to Paris HQ regularly * Regular team events and off-sites We're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, because we value the magic that happens when talented people work closely together. We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better). The key is building the infrastructure so they have the right context, and building the best interfaces for humans to interact with them. We have the unique opportunity to explore and shape the way humans interact with machines while building a product we use ourselves every day. If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk. 👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. * ___: a story about our mission * ___ - Latent Space podcast with our cofounder, Stanislas Polu (2024) * ___ - dotAI podcast with Stanislas Polu (2024)

Location: Remote - United States only. About the role: Ottimate is building the AI-native future of accounts payable. Our platform processes millions of invoices across hundreds of enterprise customers, powered by a suite of ML models and agentic workflows. As Director of AI Engineering, you will own the full AI and ML layer of our product — from invoice understanding and vendor intelligence to our conversational AP Copilot and the next generation of autonomous AP agents. This is a hands-on leadership role. You will spend at least half your time writing code, architecting systems, and driving technical decisions alongside your team. You will also set the AI roadmap, partner cross-functionally with Product, Data, and Platform Engineering, and manage a distributed team of 8–10 engineers across Data and ML. We are looking for a senior technical manager or director — ideally someone who has thrived at a smaller company and is ready for a career step up into broader ownership. If you are energized by shipping real AI products, working with noisy real-world financial data, and building the systems that will define how enterprises automate AP, this role is for you. Responsibilities Technical Leadership • Architect and ship production AI/ML systems — you write code, not just review it, • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery, • Set technical standards for model quality, evals, observability, and reliability, • Drive adoption of agentic coding tools to multiply team velocity, • Claude Code, Cursor, Copilot, or equivalent — measure and improve PR throughput, • Manage a distributed team of 8–10 engineers across Data and ML disciplines, • Hire, develop, and retain engineers at all levels; build a high-trust remote culture, • Partner with Product on roadmap sequencing and scope trade-offs, • Work directly with customer-facing teams to close feedback loops on model quality, • Own model performance metrics and drive continuous improvement pipelines, • Build and maintain evals frameworks — regression suites, human review, A/B testing, • Oversee training data collection, curation, and labeling operations, • Manage the full ML lifecycle: experimentation, deployment, monitoring, iteration, • Define and enforce quality bars for agentic workflows entering production Applied AI & Agentic Systems • Production agentic pipelines using frontier models, • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration, • Reliable agent loop design — planning, memory, tool execution, error recovery, • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking, • Evals frameworks built from scratch — correctness, regression, semantic similarity, • Fine-tuning frontier or open-source models for domain-specific tasks, • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls, • Training data collection, curation, cleaning, and labeling at scale, • LLM inference and serving optimization, • vLLM, TGI, or equivalent, • Hands-on Python — comfortable writing, reviewing, and shipping production code, • PostgreSQL — schema design, query optimization, indexing strategies, • Distributed systems — async workers, queues, retries, state machines, • Celery or similar async task frameworks is a bonus, • Public-facing API design — REST, versioning, developer experience, • MCP server development — tool-accessible APIs for AI agent integration, • Engineering Manager ready for director-level ownership, • Has led technical teams at a startup or growth-stage company — knows how to move fast, • Hands-on contributor who has also managed small high performance teams., • Finance and/or AP domain — invoice workflows, GL coding, vendor management, • Hospitality — high-volume, multi-location AP operations, • Noisy, unstructured text data — OCR outputs, inconsistent supplier formats, entity resolution at scale ★ Industry experience above is a bonus Exceptional AI engineering skills are the primary bar. We will teach the domain. We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: • Compensation: 200,000-225,000 + 15% Annual Bonus, • Competitive salary based on skills & experience., • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family., • Employer sponsored 401(k) with company match., • Paid Time Off (and the encouragement to use it)., • Annual company retreats., • Promote from within philosophy. Beyond the tangible benefits though: • You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference., • You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing., • You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution., • Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note., • We are transforming entire industries using innovative technology including Artificial Intelligence, Payment Tech, and Neural Networks., • Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth., • We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

We’re seeking a strategic and forward-thinking IT Portfolio Manager to join a core enterprise technology team supporting Strategic Businesses. This role will partner closely with CIOs and senior business leaders to shape and optimize enterprise technology investments across AI, data, cybersecurity, platform modernization, and digital transformation initiatives. This is an ideal opportunity for someone who thrives at the intersection of technology strategy, governance, investment planning, and executive stakeholder management within a complex enterprise environment. What You’ll Do: • Manage and evolve a multi-year enterprise technology portfolio aligned to strategic business objectives, • Drive portfolio prioritization, intake, investment planning, and governance, • Partner with CIOs and business leaders to translate strategy into actionable roadmaps, • Identify opportunities for standardization, scalability, and operational efficiency across platforms and initiatives, • Define and track KPIs, portfolio performance metrics, and business impact, • Partner with finance teams to evaluate investment cases, optimize spend, and measure value realization, • Prepare executive-level reporting, dashboards, and portfolio updates for senior leadership, • Facilitate discussions around priorities, trade-offs, and enterprise technology investments, • Stay informed on emerging technologies including AI, data platforms, and automation tools to help shape portfolio strategy What We’re Looking For: • 5–8 years of experience managing enterprise technology initiatives within Insurance or Financial Services, • Strong portfolio management, strategic planning, and stakeholder engagement experience, • Strong PowerPoint and executive presentation skills with the ability to translate complex data into leadership-ready insights, • Experience working across enterprise technology, business, and finance stakeholders, • Strong understanding of software development, infrastructure, AI, and emerging technologies, • Highly proficient using AI productivity tools such as OpenAI ChatGPT, Microsoft Copilot, Google Gemini, and Anthropic Claude, • Experience with tools such as Jira and Microsoft Office 365, • Product Owner and/or Business Analyst experience is a plus, • Excellent communication, organizational, and problem-solving skills

Strategic Sourcing- Technology -Strategic Advisory: Serve as a strategic advisor to all levels of management on all matters related to sourcing and procurement, offering insights and recommendations to optimize the vendor portfolio and achieve corporate transformation objectives. Build and deliver executive-ready presentations using advanced analytics (Power BI, SQL, Tableau) to support sourcing decisions and business cases. Contribute to enterprise-wide cost optimization programs by identifying and accelerating high-impact sourcing initiatives. -Sourcing Strategy Development: Conduct rigorous external spend analysis to uncover opportunities for cost optimization. Design and execute comprehensive sourcing strategies to reduce cost, improve delivery resilience, and streamline vendor portfolios through competitive bidding, proofs-of-concepts, demand management, supplier consolidation, and process reengineering efforts that align with the company's overall business goals, ensuring cost-effectiveness, and quality. -Cross-Functional Collaboration: Work closely with internal stakeholders to align sourcing strategies with enterprise cost targets and transformation goals. Build and manage cross-functional cost optimization programs to drive accountability and transparency in sourcing decisions. -Supplier Relationship Management: Build and maintain strong relationships with key suppliers, negotiating and drafting favorable terms into contracts, ensuring the highest standards of quality and service. -Market Analysis: Conduct thorough market research and analysis to identify trends, risks, and opportunities within the supply chain, and prepare PowerPoint decks to support informed sourcing decision-making. -Risk Management: Identify potential risks within the supply chain and develop mitigation plans to ensure business continuity and minimize disruptions. -Cost Management: Implement cost-saving initiatives and strategies to reduce overall expenses without compromising on quality or performance. -People Management: Recruit, coach, mentor, and indirectly manage junior staff as necessary. Experience required: Exceptional program and stakeholder management skills with a strong bias for execution. -Strong command of procurement analytics and ability to translate data into actionable insights and persuasive narratives. -Expertise with category planning, competitive bidding techniques (RFI, RFP, RFQ), creation of business cases, vendor selection, vendor risk due diligence, operations management, and vendor dispute/escalation management. •Financial modelling skills to build multiple negotiation scenarios, total cost of ownership models, consumption models, and demand forecasts based on spend analytics and other data sources. •Depth in drafting, redlining, and negotiating global contracts, including experience drafting service level agreements (SLAs). This includes a solid understanding of contract law, including demonstrated ability to understand, interpret and articulate key legal terms in agreements. Competencies: •Highly strategic thinker with a proactive approach to challenges and opportunities, possessing superior analytical skills, including the ability to translate analyses into negotiation strategies and results •Strong leadership and interpersonal skills, with the ability to work effectively in a team-oriented environment, eliciting support for key initiatives from senior management and other key stakeholders, by building and delivering clear, well-structured presentations •Detail-oriented and organized, with a commitment to excellence and continuous improvement. •Adaptable and resilient, with the ability to thrive in a fast-paced and dynamic business environment and with the willingness to adapt working hours to meet business needs and deadlines, understanding that most of the supplier portfolio is comprised of firms based in the United States. •Proficient MS Office skills, including experience using CoPilot and other AI software products. Education: • Bachelor’s Degree, with preferences for Accounting, Finance, Computer Science, Engineering, Economics, Data Science, Operations Research, Technology or Supply Chain Management, or Entrepreneurship. • Advanced degrees in Business, the Sciences, Engineering, Law, or related areas.

Duties: Strategic Sourcing- Technology Client is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. Client offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. -Strategic Advisory: Serve as a strategic advisor to all levels of management on all matters related to sourcing and procurement, offering insights and recommendations to optimize the vendor portfolio and achieve corporate transformation objectives. Build and deliver executive-ready presentations using advanced analytics (Power BI, SQL, Tableau) to support sourcing decisions and business cases. Contribute to enterprise-wide cost optimization programs by identifying and accelerating high-impact sourcing initiatives. -Sourcing Strategy Development: Conduct rigorous external spend analysis to uncover opportunities for cost optimization. Design and execute comprehensive sourcing strategies to reduce cost, improve delivery resilience, and streamline vendor portfolios through competitive bidding, proofs-of-concepts, demand management, supplier consolidation, and process reengineering efforts that align with the company's overall business goals, ensuring cost-effectiveness, and quality. -Cross-Functional Collaboration: Work closely with internal stakeholders to align sourcing strategies with enterprise cost targets and transformation goals. Build and manage cross-functional cost optimization programs to drive accountability and transparency in sourcing decisions. -Supplier Relationship Management: Build and maintain strong relationships with key suppliers, negotiating and drafting favorable terms into contracts, ensuring the highest standards of quality and service. -Market Analysis: Conduct thorough market research and analysis to identify trends, risks, and opportunities within the supply chain, and prepare PowerPoint decks to support informed sourcing decision-making. -Risk Management: Identify potential risks within the supply chain and develop mitigation plans to ensure business continuity and minimize disruptions. -Cost Management: Implement cost-saving initiatives and strategies to reduce overall expenses without compromising on quality or performance. -People Management: Recruit, coach, mentor, and indirectly manage junior staff as necessary. Experience required: Exceptional program and stakeholder management skills with a strong bias for execution. -Strong command of procurement analytics and ability to translate data into actionable insights and persuasive narratives. -Expertise with cat Skills: egory planning, competitive bidding techniques (RFI, RFP, RFQ), creation of business cases, vendor selection, vendor risk due diligence, operations management, and vendor dispute/escalation management. •Financial modelling skills to build multiple negotiation scenarios, total cost of ownership models, consumption models, and demand forecasts based on spend analytics and other data sources. •Depth in drafting, redlining, and negotiating global contracts, including experience drafting service level agreements (SLAs). This includes a solid understanding of contract law, including demonstrated ability to understand, interpret and articulate key legal terms in agreements. Competencies: •Highly strategic thinker with a proactive approach to challenges and opportunities, possessing superior analytical skills, including the ability to translate analyses into negotiation strategies and results •Strong leadership and interpersonal skills, with the ability to work effectively in a team-oriented environment, eliciting support for key initiatives from senior management and other key stakeholders, by building and delivering clear, well-structured presentations •Detail-oriented and organized, with a commitment to excellence and continuous improvement. •Adaptable and resilient, with the ability to thrive in a fast-paced and dynamic business environment and with the willingness to adapt working hours to meet business needs and deadlines, understanding that most of the client supplier portfolio is comprised of firms based in the United States. •Proficient MS Office skills, including experience using CoPilot and other AI software products. Education: • Bachelor’s Degree, with preferences for Accounting, Finance, Computer Science, Engineering, Economics, Data Science, Operations Research, Technology or Supply Chain Management, or Entrepreneurship. • Advanced degrees in Business, the Sciences, Engineering, Law, or related areas.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as an AI Success Manager.We are looking for an experienced professional with AI and machine learning expertise to join us in applying cutting-edge open-source tools and/or those developed within the company to increase efficiency and reduce friction within the company as well as for our customers. AI Success Managers drive client value, adoption, and retention for AI products by guiding onboarding, optimizing use cases, and fostering strategic partnerships. They act as technical advisors and change agents, ensuring safe, ethical, and high-ROI deployment of AI solutions. Core duties include accelerating time-to-value, managing a cross-functional technical team, and monitoring performance KPIs. Core Responsibilities and Roles • Adoption and Value Realization:Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions., • Strategic Advisory:Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals,identifyingnew use cases, and driving expansion., • Implementation Management:Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment., • Performance Monitoring:Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies., • Change Management:Guideclients through the organizational changesrequiredfor AI adoption, focusing on training and cultural alignment., • Technical Support and Advocacy:Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements., • Risk Management:Proactivelyidentifypotential bottlenecks, ethical concerns, or security risks in AI deployment., • Manage and lead team of small team Machine Learning Engineers, • AI Technical Proficiency:Deep understanding of Generative AI/ML models, Agentic AI, API usage, and data management., • Relationship Management:Ability to build trust with key stakeholders and executives., • Strategic Thinking:Capability to align complex AI technology with business strategy and outcomes., • Change Leadership:Expertisein guiding organizations through digital transformation., • Data Analysis:Proficiencyin interpreting usage data to make informed decisions. RequiredQualifications: • Bachelor's orMaster's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum6years(4 years withMastersdegree)of experience in industry with a strong focus on ML solutions development and production deployment., • At least 2 years of experience in Engineering Management with teams of 4 or more engineers, • Strongproficiencyin Python., • Familiarity with cloud platforms such as AWS or Azure., • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, GoogleGeminietc. Experience developing and fine-tuning prompts on any of the GenAI services, • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

AI Platform Engineer, AI Engineer. Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases). As an AI Software Engineer, you’ll spend your days architecting and building AI-powered systems that leverage foundational models like O

LangChain, OpenAI SDK, MCP, etc. As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll partner closely with AI engineers, backend engineers, and cross-functional tea

Experience working with AI SDKs such as the OpenAI and Vercel AI SDKs. As an SDK Engineer on LaunchDarkly’s AI Configs team, you'll build the primary touchpoint that our customers interact with on a daily basis. Actively maintain our open-source repositories.

As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. Experience in engineering and project management, ideally with a focus on security, intelligence, o

The Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We are looking for a technically savvy and business-minded solutions architect to deeply partner with our most strategic and high-impact platfor

MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services. Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent sy

Azure OpenAI and orchestrate workflows using. Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science. Bachelor's in Business Analytics or equivalent work experience.

At ___, we’re building onchain markets that enable anyone to get exposure to technological progress and adoption — starting with perpetual futures for pre-IPO companies. Private equities are a $13+ trillion asset class that retail has been locked out of for too long. Top startups have stayed private for longer than ever, leaving no way for everyday investors to participate in their growth. Ventuals makes private markets public — enabling anyone to trade top private companies like OpenAI, SpaceX, Anthropic, and Stripe. We’re building on Hyperliquid, and have had amazing testnet traction in the 2 months since launch, with ~10,000 weekly active traders and >1M cumulative trades, and zero marketing spend. Our seed round was led by Paradigm, with additional angels from Coinbase Ventures, Electric Capital, Ethereum Foundation, Uniswap, and Flashbots. Our small, world-class team is mostly based in New York, and we often work out of a beautiful office in Soho with other early-stage Paradigm portfolio companies. We’re looking for a senior or staff-level engineer to join Ventuals ahead of our mainnet launch. You’ll be shaping the user experience, trading systems, and infrastructure that our users will interact with on day one. As a generalist, you’ll work across the entire stack – from shipping frontend features on our ___ app, to building core trading APIs, to scaling the infrastructure that power our exchange. We're looking for an experienced IC who wants to: * Ship user-facing features in TypeScript, React, and ___ * Build backend services that power our exchange, including trading, market data, indexing, and monitoring systems * Help shape the product roadmap and strategy alongside the founders and the rest of the team You're a senior or staff-level IC that has built technical user-facing products before. We’re looking for someone that feels a deep sense of duty to the users of their work. * Ability to thrive in a fast-paced, ambiguous startup environment * Strong track record of ownership and high-agency execution * Pragmatic builder who can write clean, maintainable code but knows when to move fast * Excellent written and verbal communication; strong technical documentation skills * Curiosity and adaptability; willing to dive into new technical domains quickly * Work on a frontier product with clear, proven user demand * High autonomy and outsized impact as one of the first engineers * Be part of a high-performance, low-ego culture that values grit, excellence, and execution * Partner directly with founders on product and technical strategy ___ (Co-Founder and CTO) — Previously CTO at Shadow, Paradigm EIR, and Staff Engineer → Engineering Manager at Airbnb, where she built the realtime indexer for user profiling used sitewide and managed a team of 15 engineers. Has been highly active onchain since DeFi summer 2020. ___ (Co-Founder and CEO) — Previously CEO at Shadow, Paradigm EIR, and Designer → Staff Product Manager at Airbnb, where he was the first PM on Airbnb Plus and helped take it from a whiteboard idea to a $100M/yr business in 2.5 years. Has been highly active onchain since DeFi Summer 2020. Emily and Alvin are siblings and have worked together for the past 10 years! Highly competitive salary and equity — we target 90th percentile compensation for both salary and equity. You’ll be expected to act like an owner, because you are one. Great healthcare — gold-tier company healthcare plans. We cover 99% of medical, dental, vision premiums for employees, and 50% for dependents. 401k — flexible 401k retirement plan with contribution matching. Hardware setup — we’ll buy whatever you need to be productive.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$288,000—$360,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Strategy & Management Consulting Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy. A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions. Job Description We’re looking for an AI Transformation Consultant to help organizations rethink how work gets done using generative AI, automation, and agent-based workflows. In this role, you’ll work closely with business and technology leaders to identify high-impact opportunities for AI, rapidly prototype solutions, and help scale AI-enabled ways of working across the enterprise. You’ll operate at the intersection of strategy, operations, and applied AI — helping clients move from experimentation to measurable business impact. This is an ideal opportunity for someone who combines structured problem solving with curiosity about emerging AI capabilities and a builder’s mindset. You should be excited by fast-moving technologies, comfortable navigating ambiguity, and motivated by solving real business problems with AI. You’ll have the opportunity to work directly with modern AI platforms and tools, including LLMs, copilots, workflow automation platforms, and agentic systems, while partnering with cross-functional teams to shape how organizations adopt AI responsibly and effectively. What You’ll Do Identify & Shape AI Opportunities • Partner with business stakeholders to identify high-impact opportunities for generative AI, automation, and AI-enabled transformation, • Translate ambiguous business challenges into practical AI use cases, workflows, and solution concepts, • Help prioritize AI initiatives based on business value, feasibility, scalability, and user impact, • Help design, prototype, and implement AI-powered workflows and agent-driven solutions across functions such as operations, finance, sales, customer support, and enterprise services, • Structure multi-step workflows, including decision logic, orchestration, inputs/outputs, and human-in-the-loop processes, • Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment, • Support end-to-end delivery across multiple AI and transformation initiatives, • Drive execution across cross-functional teams while balancing speed, quality, and business priorities, • Help establish scalable operating models, governance approaches, and implementation best practices for enterprise AI adoption, • Track adoption, performance, and business impact of AI-enabled solutions, • Analyze user feedback, workflow outputs, and operational metrics to continuously improve effectiveness and user experience, • Refine prompts, workflows, and operating processes to improve reliability and business outcomes, • Help organizations adopt new AI-enabled ways of working through training, change management, and stakeholder engagement, • Educate business teams on how to effectively and responsibly leverage AI tools and solutions, • Develop documentation, playbooks, and best practices to support scalable adoption, • Partner with legal, risk, and compliance stakeholders to support responsible AI implementation Qualifications, • 2–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology-related roles, • Bachelor’s degree required, • Experience supporting digital, data, automation, or AI-related initiatives in a consulting or enterprise environment, • Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges, • Hands-on experience experimenting with AI tools such as OpenAI, Claude, Microsoft Copilot, Gemini, or workflow automation platforms is strongly preferred, • Ability to translate business problems into structured solutions and practical implementation approaches, • Strong communication and stakeholder management skills with experience working across business and technical teams, • Product and solution-oriented mindset with a focus on driving measurable business impact, • Comfortable operating in fast-paced, evolving environments with a high degree of ownership and ambiguity, • Demonstrated curiosity for emerging AI capabilities and a willingness to continuously learn and experiment, • Experience working with enterprise systems, data platforms, CRM tools, or operational workflows is a plus, • Exposure to Agile delivery methodologies or transformation programs is preferred, • Work on real-world AI transformation initiatives across industries, • Help organizations operationalize generative AI at scale, • Collaborate with strategy, product, data, and engineering teams, • Experiment with emerging AI tools, copilots, and agent-based workflows, • Shape how enterprises adopt AI responsibly and effectively, • Join a fast-growing team focused on the future of enterprise AI transformation, • Build highly valuable experience at the intersection of business strategy and applied AI Additional Information This role does not require deep machine learning engineering expertise. However, candidates should be comfortable working closely with technical teams and actively experimenting with modern AI tools and workflows. We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation * Annual Base Salary Range: $89,800 - $129,500, commensurate with experience and qualifications * Annual performance based discretionary bonus Robust Health Coverage * 3 Medical plans * Dental and Vision * Life, AD&D and other voluntary insurance Tax-Advantaged Accounts * 401K retirement plan * 4% matching and 100% vested upon enrollment * Health Savings Account (HSA) * Flexible Spending Account (FSA) * Health, Dependent Care, Commuter Family Friendly Benefits * 100% paid parental leave for all new parents with eligible tenure * Building Healthy Families program if enrolled through Medical plan Time Off to Recharge * Generous Paid Time Off (PTO) policy * 9 company holidays plus 1 floating holiday Extras that Make Life Easier * College savings and student loan repayment assistance * Monthly cell phone stipend * Access to wellness programs at no cost if enrolled through Medical plan, including: * Gym membership reimbursement * LiveHealth Online virtual care * Personalized support from a Well-being Coach * Employee Assistance Program at no cost * Free confidential counseling and emotional support services * On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers. AI/ML Ops: Experience supporting production AI workflows (e. Pinecone, LangChain, OpenAI API integrations).

As a Manufacturing Test Engineer on Stargate, you will own the development of manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware. Develop and deploy manufacturing test solutions in collaboration with OpenAI’s global manufacturing partners. Partner

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LiveKit is building the infrastructure layer for the voice-driven era of computing.Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production.Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify,

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As a Solutions Architect in the Digital Native segment, you’ll help large and highly technical companies transform their business through solutions such as customer service, automated content generation, contextual search, personalization, and novel applications that make use of our newest, most e

Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend. You’ll work deeply with our Eng

About Engenious Engenious is a technology company building next-generation AI products that transform how people work, learn, and create. We partner with fast-growing startups and global companies to design and scale intelligent systems — from AI-powered applications to full-stack platforms used by millions. Our team combines deep engineering expertise with product thinking to deliver solutions that are not just technically strong, but genuinely useful. About the Role We’re looking for a Full-Stack Engineer to join our team and work on AI-driven products in the education space. In this role, you will be working as part of an Engenious team embedded with one of our clients, a leading technology company building products used at global scale. You’ll collaborate closely with both Engenious and client-side teams to deliver high-impact solutions. You’ll help build systems that support students throughout their writing journey — from drafting and citations to AI transparency and plagiarism detection. This role combines full-stack engineering with practical application of modern AI technologies, and you’ll be expected to actively work with AI-powered features as part of your day-to-day development. This is a San Francisco–based hybrid role, combining in-office and remote work What You’ll Do • Build and ship end-to-end features across frontend and backend, • Design scalable APIs and services, • Develop clean, intuitive user interfaces, • Build and integrate AI-powered features into product workflows, • Work with LLM-based systems and AI-driven services, • Improve performance, reliability, and system architecture, • Collaborate with product, design, and AI teams (both Engenious and client-side), • Contribute to technical decisions and engineering standards, • Mentor engineers and support team growth What You’ll Work On • AI-powered writing and productivity tools, • Systems for AI transparency and authorship clarity, • Citation and attribution workflows, • Plagiarism and AI-usage detection, • Integrations with educational platforms and tools Requirements • 3+ years of experience in full-stack development, • Experience building or integrating AI-powered features (LLMs, APIs, or similar), • Strong fundamentals in algorithms and system design, • Experience building and scaling production systems, • Proficiency with modern web technologies, including frontend (React.js, Next.js) and backend (___: Express, NestJS, etc.; Python; other backend languages and frameworks), as well as experience with system scaling, REST APIs, GraphQL, microservices, and message brokers., • Experience debugging complex systems, • Strong product mindset and attention to user experience, • Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role Nice to Have • Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc., • Background in high-scale applications, • Experience mentoring or leading engineers Contract to Full-time Conversion: Contractor Phase • Hourly rate, • Expected hours, • Contract duration - 6-12 month, • Potential transition timeline Full-Time Conversion (Future Opportunity) • Full-Time Benefits (Upon Conversion), • Upon successful transition to a full-time role, the position may include:, • Comprehensive health benefits (medical, dental, vision, mental health), • Paid time off and holidays, • Parental leave, • 401(k) / retirement options (if applicable), • Professional development support, • Additional stipends (wellness, home office, etc.) Please note: These benefits are available only upon full-time employment and are not applicable during the contractor phase.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Location: Remote Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

Remesh - San Francisco, New York City or Remote (must be in the United States) Full-time 10 to 50 employees · Internet Originally posted March 05, 2026; this is a 100% remote, full-time role Remesh Operates on a 4 Day Work Week (4DWW) About Us! Remesh was founded in 2014, with a mission to build a platform that can help people truly understand each other — whether that's consumers, employees, or constituents. To date, we have raised over $65 million to execute this mission. We are excited to be disrupting the $70+ billion insights industry. Remesh allows you to have a live conversation with your audience at scale, using AI to analyze and organize their responses in real-time. Through this process, our customers are able to quickly draw out actionable insights as they engage hundreds of participants simultaneously. As a result, customers are able to gain fast, frequent, and efficient insights and make decisions with confidence. About the Role As a Software Engineer at Remesh, you will be scaling a revolutionary means of communication and helping to change the way we understand people. You will build, maintain, and test new and existing features using modern AI-assisted development workflows. You will be working with a cross-functional team of product managers and engineers (also at times, our Go-to-market teams) to improve existing features, build new ones, and scale our platform to serve more users and use-cases. We are transitioning to an AI-first development workflow, leveraging tools like Claude Code, Cursor, and similar AI coding assistants to accelerate development and improve code quality. The successful candidate will be comfortable working alongside AI tools, have experience with or enthusiasm for AI-assisted development, but absolutely needs to possess strong critical thinking, problem-solving, and reasoning skills. • Writing, maintaining, and testing code, • Leveraging LLMs and AI coding assistants to accelerate development velocity while maintaining high code quality standards, • Identifying and resolving issues, bugs, and requests efficiently with AI-augmented debugging and analysis, • Collaborating with product managers and designers to build engaging features for our users, • Collaborating with your team to design, develop, and maintain scalable, robust, and efficient software solutions which will leverage 3rd party APIs (e.g. LLMs) into our product to provide our customers with new and exciting features, • Building and integrating AI agents and agentic workflows into our platform and development processes, • Supporting our internal teams with engineering expertise, • Collaborating with other engineers to improve our codebase and the architecture and systems supporting it, • Contributing to and refining our AI-first development practices and tooling, • Working with other engineers to build complex features, • 3-5 years of professional software development experience, • 3+ years of proficiency in JavaScript or TypeScript, • 2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust, • Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar), • Ability to effectively prompt and collaborate with LLMs to accelerate development, • 2+ years of experience with common web technologies, frameworks, and paradigms, • 2+ years of experience applying fundamental software engineering concepts, conventions, and best practices, • 2+ years of experience with unit tests and testing best practices, • Strong critical thinking skills to evaluate and refine AI-generated code, • Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure, • 5+ years of professional software development experience, • Experience building, deploying, or integrating AI agents and agentic systems, • Experience with Python and Django, • Experience with Kubernetes and Docker, • Experience with React, • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases, • Four Day Work Week (4DWW), • Sabbatical Leave Available, • Medical/dental/vision coverage, • Work from anywhere in the US!, • Remesh Equity, • 401k Retirement Plan, • $500 one-time use work from home allowance (WFH), • $150 monthly stipend WFH stipend, • 28 days of PTO annually, • $150K USD to $170K USD

WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA. We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build. WHAT YOU WILL DO: We are seeking a highly motivated Accounting Manager to join our growing accounting team in the U.S and the Americas region. The successful candidate will play a key role in overseeing the accounting department and ensuring the accuracy and efficiency of financial operations. This position provides an exciting opportunity to contribute to the strategic direction of our company and to support our growth and success. You will report to the Associate Director, Financial Control. Progressive experience in accounting operations, internal controls, and financial systems is required, as well as the ability to interact with all levels of management and cross-functional teams. • Plan and oversee all accounting tasks in support of operations, including accounts payable, accounts receivable, cash management, and general ledger for one of our 3 service lines, • Lead all month-end close and general ledger reconciliation processes pertaining that specific service line, • Assist in managing accounts receivable and accounts payable processes for various DEPT® US entities within the service line through standardization of process and optimization of internal controls to focus on working capital management and cash flow optimization, • Manage various treasury management workflows, including cash tracking, management, and cash forecasting for various DEPT® US entities within the service line, • Partner with senior mgmt on the preparation of budgets and forecasts and develop accurate and timely reports on actuals vs budgets, • Comply with local, state, and federal government reporting requirements and tax filings., • Review financial statements and trend analysis to ensure proper reporting and understanding of the business, • Partner closely with FP&A and Group Financial Reporting teams around monthly variance analysis and management reporting, • Coordinate the provision of information to external auditors for the audits., • Assist the DEPT® US accounting team with monthly/quarterly deliverables, • Assisting the DEPT® US accounting team with intercompany reconciliations, • Provide mentorship and support to a growing accounting team, • Perform other tasks and analyses as needed or directed. WHAT YOU WILL BRING: • Bachelor’s degree in accounting or finance, • 3+ years experience in accounting, • Advanced Excel/Google Sheets skills, • Hands-on experience with accounting software packages, like NetSuite, • GAAP/IFRS or equivalent accrual-based accounting knowledge, • Attention to detail and ability to analyze number discrepancies, • Experience with month-end close, consolidations in a multiple currency environment, including recording intercompany transactions, • Direct experience in revenue recognition across various revenue streams, • Capable of investigating and resolving accounting discrepancies, • Experience with system implementations, • Experience with M&A acquisitions and integrations, • Experience with group accounting and/or consolidations, • Working within the professional services and/or technology industry, • Working within private equity WHAT DO WE OFFER? We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our benefits package: • Healthcare, Dental, and Vision coverage, • 401k plan, plus matching, • PTO, • Paid Company Holidays, • Parental Leave WE SUPPORT YOU BEING YOU: DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. We are a___ company passionate about___. Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI. DIVERSITY, EQUITY, & INCLUSION At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts___. #LI-Remote The anticipated salary range for this position is listed below. Salary is based on a range of factors that include relevant experience, expertise, physical location, and organizational impact. This is based on a 40-hour workweek and leveling. Keep in mind, we’re flexible. US Remote Range $95,000 - $130,000 USD

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services. In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Develop andmaintainbackend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI modelsand services., • Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services., • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Documentandcommunicatedevelopment processes and implementation details with peers and supervisors, • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. RequiredQualifications: • Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field., • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus., • Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Proficiencyin Python and familiaritywith ML libraries such asPyTorch., • Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$180,000—$225,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Our product team is small but mighty. We partner with engineering, design, analytics and more to craft a marketplace that delivers business to our pros while helping millions of customers get their projects done each year. Do you want to work in a highly collaborative environment to reinvent how a large piece of the local economy works? We’re looking for a product manager to partner with engineers and designers to develop great solutions for Thumbtack’s customers and professionals. You’ll work on a variety of projects across the product with a diverse set of team members. You’ll join a team of Growth PMs building great user experiences that deliver value to our users and business impact. Our Partnerships PMs are building zero to one product experiences and capabilities that are reshaping Thumbtack in the AI age. We have active partnerships and integrations with some of the largest home services, home retailers and consumer tech brands including major LLM providers such as Alexa and OpenAI. Thumbtack’s goal is to become the go-to partner for AI powered experiences to enter the real world, connecting homeowners in need with real human beings that can solve their home problems. Partnerships PMs work directly on these product experiences and APIs helping shape the future of home services. • Lead a significant portion of our product experience and be accountable for business outcomes, • Conduct user research and lightweight tests to scope and prioritize product initiatives, • Partner with engineers, designers, analysts and data scientists to ideate, prioritize and deliver great solutions for our customers and professionals, • Define and analyze key metrics to inform decision-making and measure success, • Work closely with key Thumbtack partners (including LLM tech, consumer tech and home services/retailers) to ensure strategic alignment and strong execution, • Coordinate within your team and among teams at Thumbtack to ensure understanding of and alignment around projects, • Wear many hats and be key organizational glue, • 7+ years of product management experience building consumer web or mobile products, • Excellent user-centric design and product sense, • Excellent analytical skills to break down and solve complex problems, • Proven ability to collaborate cross-functionally, • Excellent written and oral communication skills, • Excellent business judgment, • Ability to work in a fast-paced and dynamic environment, • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $200,600.00 - $259,600.00, • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $180,200.00 - $233,200.00, • For candidates living in all other US locations, the expected salary range for this role is currently $170,900.00 - $221,100.00 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: ___. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at ___. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. ___

POS-5949 We're seeking a Senior Marketer to lead our AI partner marketing initiatives, driving co-marketing strategies with our GTM AI partners including OpenAI, Anthropic, Google, and Microsoft. This role sits at the intersection of partner marketing and campaign execution, where you'll build and nurture high-impact relationships that accelerate our AI priorities. As our Senior Marketer for AI Partnerships, you'll be the dedicated marketing leader for our most strategic AI partnerships. You'll develop and execute comprehensive co-marketing strategies that drive demand generation, build market awareness, and establish thought leadership in the rapidly evolving AI landscape. This role requires someone who can navigate ambiguity, influence senior stakeholders, and translate complex AI capabilities into compelling market narratives. • Lead the development and execution of integrated co-marketing strategies with OpenAI, Anthropic, Google, and Microsoft that align with our joint business priorities., • Drive the creation of compelling, content, and customer references that differentiate our AI solutions in market., • Develop and execute co-marketing campaigns across multiple channels including content, events, webinars, and digital marketing., • Integrate AI partnerships into our broader marketing campaigns and events, ensuring seamless delivery and pipeline impact., • Cultivate strong relationships with marketing, product, and leadership teams at partner organizations to build consensus and drive joint initiatives., • Collaborate closely with internal teams including product marketing, partnerships, developer relations, and regional marketing., • Analyze performance data to measure results and ROI for co-marketing activities, using data-driven insights to optimize programs., • Exceptional at content creation, • Comfortable leading co-marketing strategy and execution with partners., • Exceptional communication and cross-functional collaboration skills across business development, product, developer relations and marketing teams., • Have a drive for urgency to work through projects with tight timelines and many moving parts., • Are comfortable with change and a dynamic environment where things can be ambiguous, move quickly and often change., • Proven experience managing co-marketing strategies and campaigns with enterprise technology partners., • Strong understanding of AI/ML, cloud technologies, or developer-focused products., • Direct experience working with AI companies, public cloud providers, or developer platforms., • Track record of driving innovative technology products to market through strategic partnerships. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. ___ will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s ___. Benefits are also an important piece of your total compensation package. Explore the ___ HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range:$92,000—$138,000 USD We know the ___ and___ can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us ___. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page ___. India Applicants: link to HubSpot India's equal opportunity policy ___. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company___. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found ___. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's ___ for details on data processing and your rights.

This is a remote position Senior Software Engineer (Remote)—AI Product & Platform Engineering We build AI-powered products that improve customer workflows (speed, accuracy, confidence). As we deliver outcomes, we extract the repeatable patterns into an internal AI engineering platform that makes the next outcome faster and safer. This is not a "build it and they will come" platform role; platform adoption is earned through shipped product value. This role reports to a Principal Software Engineer. Remote, with overlap expected within +/-2 hours of America/Chicago. Responsibilities · Ship end-to-end product increments (spec → build → release → operate) · Use the right tool for the job; our current default is a modern TypeScript + React full-stack (server rendering, RSC-style patterns, streaming), and we stay flexible as we learn · Build AI features with disciplined patterns: tool calling, structured outputs, grounding, and streaming UI · Partner with product, design, and SMEs to define outcomes, validate assumptions, and iterate quickly · Turn lessons from shipped features into reusable "paved road" primitives (eval harnesses, guardrails, shared tool/prompt patterns) · Build evaluation + release loops (tests, golden datasets, regressions, targeted human review; LLM grading where it fits) · Own reliability, performance, and cost; instrument with OpenTelemetry and define SLOs for key flows · Enforce security and privacy by design (safe tool access, authZ, auditability, prompt-injection mitigations, PII handling) Success in 90 Days · Ship customer-impacting AI features with telemetry and tests · Improve eval coverage/quality and move a key metric (grounding/tool-use, latency, reliability, or cost) · Deliver a reusable platform primitive that gets adopted via shipped features (not a standalone framework) Required Qualifications · Senior-level TypeScript + React experience in production systems · Experience building React full-stack apps (routing, server rendering, server components/actions, backend-for-frontend patterns) · Async + streaming experience (SSE/streams; cancellation/backpressure awareness) · Comfortable on macOS and Linux; fluent with CLI for local dev, debugging, automation, and as an API · Strong Git discipline (PR workflows, code reviews, conventional commits, clean commits) and ability to raise the bar through review · Strong testing discipline and ability to build testable abstractions · Strong API integration experience; ability to ship, measure, and iterate in ambiguity Preferred Qualifications · Experience with the Vercel AI SDK (Core + UI) for streaming experiences, tool calling, and chat UX patterns · LLM integration experience (OpenAI/Anthropic/Bedrock or similar) with tool calling / structured outputs · Experience building internal platform primitives with real adoption (SDKs, shared libraries, paved roads) · Experience with AI evaluation frameworks and regression testing for model outputs · Experience with API design and an intuition for · Observability and/or security depth for AI systems What Sets You Apart · You're outcome-driven: ship, measure, iterate · You build reusable components by proving the use-case in real product work · You're energized by a startup mentality: nimble execution, fast learning, pivot readiness Operational Details · Employment type: Full-time · Location: Remote (US-based) · Timezone: +/-2 hours of America/Chicago AAPC () is the world’s largest and fastest-growing healthcare training, certification, and solutions association. DRIVEN | Self-starts and stays highly motivated to achieve ambitious goals. Shares contagious energy and enthusiasm liberally. Takes initiative without always being directed. Demonstrates confidence in decision-making and effectively balances autonomy and authority with accountability. HUMBLE | Learns, adapts, and improves relentlessly. Seeks feedback without insecurity and implements coaching. Recognizes others' contributions gratefully. Approaches work and relationships with an abundance mentality. Places the needs of others above self. TRANSPARENT| Integrity-centered, honest, truthful, and trustworthy in all aspects of work. Keeps commitments to external and internal parties. Holds self strictly accountable, valuing the trust placed in them by others. SUPPORTIVE | Empowers and uplifts others. Listens actively and responds with empathy and understanding. Prioritizes well-being and growth of team members and customers ahead of own interest. Faces challenges together, believing in collective strength and unity. INNOVATIVE | Entrepreneurial spirit with a scrappy mentality. Dreams big, sees opportunity, pursues full potential, and finds ways to accomplish the impossible. Rolls up sleeves and does real work. Works quickly, intelligently, and flexibly. What we Offer: • Comprehensive benefits package including medical, dental and vision insurance, • Health Savings Account, • Generous PTO and Holiday Pay, • 401(k) retirement plan AAPC Values: DRIVEN | Self-starts and stays highly motivated to achieve ambitious goals. Shares contagious energy and enthusiasm liberally. Takes initiative without always being directed. Demonstrates confidence in decision-making and effectively balances autonomy and authority with accountability. HUMBLE | Learns, adapts, and improves relentlessly. Seeks feedback without insecurity and implements coaching. Recognizes others' contributions gratefully. Approaches work and relationships with an abundance mentality. Places the needs of others above self. TRANSPARENT| Integrity-centered, honest, truthful, and trustworthy in all aspects of work. Keeps commitments to external and internal parties. Holds self strictly accountable, valuing the trust placed in them by others. SUPPORTIVE | Empowers and uplifts others. Listens actively and responds with empathy and understanding. Prioritizes well-being and growth of team members and customers ahead of own interest. Faces challenges together, believing in collective strength and unity. INNOVATIVE | Entrepreneurial spirit with a scrappy mentality. Dreams big, sees opportunity, pursues full potential, and finds ways to accomplish the impossible. Rolls up sleeves and does real work. Works quickly, intelligently, and flexibly. What we Offer: • Compensation commensurate with experience, • Comprehensive benefits package including medical, dental and vision insurance, • Health Savings Account, • Generous PTO and Holiday Pay, • 401(k) retirement plan This company is committed to fairness and equal opportunity in our hiring practices. We do not discriminate on grounds unrelated to a candidate's ability to perform the duties of the job. Our focus is on finding the best person for each role, based on merit and fit, to ensure success both for our company and for the individual's professional growth. We are an Equal Opportunity Employer. This company does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, disability, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

Beschreibung Wir bei Everlast Media revolutionieren den Coaching- & Consulting-Markt. Mit einem messerscharfen Marketing-Fokus, einer Passion für digitalisierte Geschäftsprozesse und der Implementierung von künstlicher Intelligenz im Business, haben wir die letzten Jahre einen neuen Branchenstandard etabliert. Als digitale Beratungsagentur aus Neu-Ulm sind wir stolz darauf, das wohl umfangreichste holistische Angebot für ambitionierte Coaches, Berater und Dienstleister etabliert zu haben. Vor über 5 Jahren haben wir uns bereits als Pionier auf Social Media einen Namen gemacht und unter Anderem drei Millionen Follower auf Instagram selbst aufgebaut, welche wir auf mehr als 100 eigenen Profilen verwalten. Heute steht unser Service am Markt als das Maß der Dinge. Die kommenden Jahre versprechen Großes: Wir wachsen extrem schnell - personell und kundenseitig - um so noch viel mehr Coaches, Beratern und Dienstleistern zu helfen, ihre Geschäftsmodelle erfolgreich in die Welt zu tragen. Dazu sind wir immer auf der Suche nach neuen Kolleginnen und Kollegen. Bei Everlast Media bist du als Softwareentwickler genau an der richtigen Stelle! Wir glauben fest daran, dass Vielfalt und frische Perspektiven unser Team bereichern. Dank unserer digitalen Schulungsplattform helfen wir dir, in deinen neuen Job hereinzufinden und das Beste aus dir herauszuholen. Deine Benefits • Sicherer Arbeitsplatz: Jede Person, die wir einstellen, soll langfristig mit uns wachsen. Das Ziel jeder Einstellung ist eine unbefristete Übernahme. Die Übernahmequote liegt aktuell bei über 95%., • Starke Arbeitsatmosphäre: Der Umgang untereinander ist sehr kollegial und familiär. Wir ziehen alle am gleichen Strang und motivieren uns gegenseitig, Bestleistungen zu erzielen und persönlich zu wachsen., • Steile Karrierechancen: Unsere Mitarbeiter erhalten ein faires Gehalt und die Möglichkeit sich schnell leistungsbasiert zu steigern. Über die nächsten Jahre werden wir weiter wachsen und expandieren. Dazu benötigen wir weitere Experten und/oder Führungskräfte., • Elite Ausbildung: Wir als digitale Unternehmensberatung sind auf die Schulung von Marketing- & Vertriebsprozessen spezialisiert. Als Mitarbeiter profitierst du von erstklassigen Fortbildungen und Schulungen in allen relevanten Fachbereichen. Implementierung von KI-Tools: Als Herzstück unserer technologischen Initiative implementierst Du innovative KI-Lösungen, die unsere Geschäftsprozesse revolutionieren. Du arbeitest an der Schnittstelle zwischen Idee und Umsetzung und bringst fortschrittliche Technologien in unser Unternehmen ein. * Einrichtung von KI-Assistenten: Du richtest intelligente Assistenten ein, die unser Team in der täglichen Arbeit unterstützen. Dein Ziel ist es, Prozesse so zu automatisieren, dass sie effizienter und effektiver werden und unser Team sich auf komplexe Aufgaben konzentrieren kann. * Auf- und Ausbau von Automatisierungen: Deine Fähigkeiten im Bereich Automatisierung ermöglichen es Dir, wiederkehrende Aufgaben durch smarte KI-Lösungen zu optimieren. Du entwickelst Systeme, die nicht nur Zeit sparen, sondern auch die Qualität unserer Dienstleistungen verbessern. * Business Development Support: Du unterstützt unser Business Development Team durch die Implementierung von KI-gestützten Tools und Prozessen, die geschäftskritische Entscheidungen vorantreiben und Innovationen fördern. Deine Qualifikationen * Auto-Didakt: Du hast eine hohe Affinität zu Technologie und eine starke Eigeninitiative beim Erlernen neuer Fähigkeiten. Selbstgesteuertes Lernen ist für Dich selbstverständlich und Du bleibst stets auf dem neuesten Stand der KI-Technologie. * Detailorientiertheit: Du legst Wert auf Genauigkeit und achtet auf jedes kleine Detail bei der Umsetzung technischer Spezifikationen. Dein Ansatz gewährleistet, dass alle Projekte präzise nach Vorgabe ausgeführt werden. * Zweck-Verständnis: Deine Problemlösungskompetenz ermöglicht es Dir, über konventionelle Lösungen hinaus zu denken und kreative sowie wirkungsvolle Strategien zu entwickeln, die echten Mehrwert bieten. * Selbstorganisation: Du bist ein Meister der Selbstorganisation, managest dein Zeitmanagement geschickt und nutzt deinen Arbeitsalltag effizient. Zusätzlich zeigst du eine ausgeprägte Fähigkeit, bestehende Prozesse und Richtlinien konsequent und strukturiert zu befolgen. * Technologiekenntnisse: Du hast grundlegende Kenntnisse in der Anwendung von Plattformen wie Zapier, Make.com und Google Workspace sowie Erfahrungen mit Tools von OpenAI. * Google Sheets (Excel) - Fortgeschrittene Kenntnisse: Deine fortgeschrittenen Fähigkeiten in Google Sheets ermöglichen es Dir, komplexe Datenanalysen durchzuführen und effiziente Lösungen für Datenmanagementaufgaben zu entwickeln. Über uns Gemeinsam gegen den Status-Quo. Als digitale Unternehmensberatung mit Schwerpunkt auf innovativem Marketing hilft die TÜV-zertifizierte Everlast Media GmbH Selbstständigen und Unternehmen dabei, auf Social Media sichtbar zu werden, Reichweite aufzubauen und planbar Kunden zu gewinnen. Everlast Media baute die letzten 5 Jahre selbst über 3 Millionen Follower auf der Plattform Instagram auf und betreut bis heute knapp 100 eigene Profile in allen relevanten Marktnischen. Gemeinsam mit ihrem Expertenteam halfen die Gründer Leonard Schmedding, Marvin Schienbein, Stevo Topic und Geschäftsführer Viktor Schöck seit 2021 mehr als 1000+ Selbstständigen, ihr Unternehmen erfolgreich zu digitalisieren und nachhaltig zu skalieren.

• Architect, design, and implement scalable full stack applications with integrated AI/ML capabilities., • Lead technical teams, mentor junior engineers, and establish best practices in AI-driven development., • Design and optimize API integrations with OpenAI, Azure Cognitive Services, AWS AI/ML stack, and Google Vertex AI., • Collaborate with stakeholders to align AI solutions with business goals and compliance standards., • Ensure robust monitoring, logging, and governance of AI API usage., • Evaluate emerging AI APIs and frameworks for adoption in enterprise projects., • Required Skills & Expertise, • Full Stack Development: React/Angular, Node.js, .NET Core, Python, Java., • AI/ML Expertise: Hands-on with OpenAI APIs (ChatGPT, embeddings, fine-tuning), Azure AI (Cognitive Services, OpenAI Service), AWS AI (SageMaker, Comprehend, Rekognition), Google AI (Vertex AI, Dialogflow)., • Cloud & Data: Azure/AWS/GCP proficiency, microservices, APIs, SQL/NoSQL databases., • Leadership: Proven ability to lead teams and manage enterprise-scale delivery., • Soft Skills: Excellent communication, stakeholder engagement, and documentation.

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

RIA Solutions Group is looking for a talented .NET Team Lead based in the United States (East Coast) to join our team and contribute to the development of high-quality software solutions for a FinTech client in the United States. The client’s mission is centered around their unwavering dedication to ensuring customer satisfaction, providing innovative solutions, and maintaining a steadfast commitment to efficiency in its work field. As a .NET Team Lead you will be responsible for contributing across the full software development lifecycle, and you will have the opportunity to work on mission‑critical financial features used by professional investors and advisors. The utilized Tech Stack in the development process: C# .NET, ASP.NET, .NET Core, ReactJS, SQL, Swagger, Kubernetes Responsibilities: 1. Technical Leadership & Hands-On Development • Perform hands-on development as the most senior developer on the team, leading the design and implementation of features and services, • Provide guidance on architecture, design patterns, coding standards, and best practices, • Mentor staff on technical skills, providing constructive coaching and feedback., • Identify technical risks and propose mitigation strategies early in the lifecycle; raise and track technical debt, ensuring visibility and prioritization, • Coordinate with other team leads (e.g. PHP, JavaScript, Java) to ensure cross-language deliverables maintain high quality, • Promote effective use of CI/CD, logging, monitoring, and performance optimization, • Refactor legacy, stateful MVC views and controllers to stateless, message-driven patterns, • Design and implement backend endpoints that expose functionalities to internal and external consumers, • Update and validate cryptography and messaging-related dependencies for backend services, • Implement and evolve shared infrastructure for functionalities used across systems. 2. Onshore Lead & Restricted-Access Activities • Own and execute tasks that require onshore/on-premises or elevated permissions, including but not limited to:, • Operations in upper environments (e.g., UAT, pre-prod, staging, production), • CI/CD actions related to upper-environment and production deployments, • Access-controlled operations on infrastructure, databases, or secret-management systems, • Act as a primary onshore owner for deployments to upper environments, production releases, and associated coordination, • Coordinate with DevOps/operations teams to ensure repeatable, auditable, and safe deployment processes, including proper validation, smoke testing, and rollback plans, • Contribute to the planning and execution of product version upgrades and hotfixes, in collaboration with platform leads and DevOps. 3. Scrum & Delivery Process • Participate in the agile development process, reporting to the development manager on team status and ensuring all agile processes are followed, • Provide leadership and oversight of the Scrum/delivery process, in partnership with Product and Scrum Master roles where applicable, • Translate user stories into technical tasks with the team; support backlog refinement by ensuring technical clarity, feasibility, and clear decomposition into estimable stories, • Promote disciplined use of branching, merging, testing, and deployment practices, • Participate in or facilitate standups, planning, refinement, retrospectives, and change control or release meetings. 4. Architecture & Governance • Participate in the architecture committee., • Identify items that require architectural review (e.g., significant design changes, new patterns, major integrations, or data changes), • Prepare and present options and recommendations for architectural decisions, • Ensure implementations adhere to agreed architecture decisions, security/performance/compliance requirements, and shared frameworks and standards 5. Collaboration & Coordination • Work with product management to completely understand desired deliverables and set the plan for how the team will deliver the solution., • Work with development management, other leads, QA leaders, and the architect to ensure the technical solution fits into the overall product architecture and design., • Work closely with offshore leads and developers to ensure clear division of responsibilities, smooth handoffs across time zones, and shared understanding of priorities, risks, and dependencies., • Participate in cross-team impact analysis for new features and platform changes, • Provides updates to the company’s technology community and IT leadership about relevant technology and industry changes, through technical, architecture, and leadership forums. Requirements: • Bachelor’s or Master’s degree in Computer Science or related technical field, • 7+ years of experience developing C# .NET, ASP.NET, .NET Core and microservices, • Strong experience with MS SQL/relational databases, including view generation, stored procedures, and dynamic/custom field data scenarios, • Experience with ReactJS, TypeScript, JavaScript, • Experience with API mechanisms (Swagger), • RESTful API design, including pagination, filtering, versioning, and secure access control, • Experience/understanding developing and/or working with front end technologies, containers & container orchestration (Kubernetes), encryption and CI/CD pipelines, • Proficient in leveraging LLM-based tools and platforms (e.g., OpenAI, Anthropic) to support and accelerate development workflows, • Hands-on experience working with AI-assisted development environments and multi-agent tools to enhance code quality, debugging, and delivery speed, • Strong analytical ability to quickly debug complex issues with a variety of system debugging tools, • Ability to grasp difficult concepts, large architectures, and sophisticated designs quickly, • Ability to provide short tactical and long-term strategic solutions and provide the risks associated with each, • Experience with configuration management, • Experience modernizing legacy web applications, especially converting stateful/session-based flows to stateless patterns, • Committed to ongoing professional development, • Fluent in English, both verbal and written. About Us: Headquartered in Winston-Salem, North Carolina, RIA Solutions Group is a visionary software development company. With extensive expertise across industries and a global presence, we work closely with international clients to accelerate innovation and boost business performance. Looking for a dynamic and driven team to be a part of? Our company of highly skilled professionals is in search of talented individuals like you to join our one-of-a-kind environment. We are eagerly waiting for your response. And if you happen to know someone who would be a great fit, please reach out to us at ___