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Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (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 Youll 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

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job Description About Us globaledit, a division of CoCreativ, is the leading provider of a powerful SaaS platform that optimizes and accelerates creative production. We are Private Equity-backed, based in New York City & Los Angeles with a well-established client base. Our Clients include leading fashion brands, retailers, and entertainment companies – including Morphe Cosmetics, Rag and Bone, and Warner Bros. This role is a hybrid position based onsite in our offices in Tribeca 3 days per week. The Role We need a technical visionary who gets things done. You'll work with a team of 14 engineers, building and scaling a serverless platform that handles creative production workflows for major brands. This isn't a job where you sit in meetings all day. You'll be in the code, making architecture calls, mentoring engineers, and shipping features. You'll work closely with Product to shape what we build, bringing technical perspective to prioritization and planning. Your team operates with autonomy. Your job is to set direction, remove blockers, and make sure we're solving the right problems the right way. We need someone who can balance "let's move fast" with "let's not break everything." What You'll Do Build and Ship • Make architectural decisions for our serverless platform – you own the technical direction, • Review code, challenge approaches, and guide the team toward better solutions, • Jump into our most important technical problems and get hands on in the code, • Work with Product to translate "what we need" into "what we're building", • Backend: C#/.NET on Lambda, API Gateway, Step Functions, • Frontend: React on S3/CloudFront, • Infrastructure: CloudFormation for IaC, • Tooling: Azure DevOps (repos, pipelines, project management) Requirements What You Need The Basics: • 7+ years building software, 3+ years leading engineering teams, • Deep AWS experience, especially serverless (Lambda, API Gateway, Step Functions), • Strong backend chops (C# is great, but any similar language works if you're solid), • You've managed distributed teams and made it work across time zones, • You can review code, make architecture decisions, and explain why your approach is better, • You're a doer. You don't just delegate – you jump in when needed, • You can move fast without cutting corners, • You're comfortable with ambiguity and figure things out as you go, • Familiarity with CloudFormation and Azure DevOps, • Experience adding AI/ML to existing products (Bedrock, OpenAI, etc.), • Background in creative production, media, or SaaS, • Experience with Datadog Benefits The anticipated salary range for this role is $185,000 - $200,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

Job DescriptionAbout Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Role Overview As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services. This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions. Key Responsibilities • Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives., • Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems., • Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs., • Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate., • Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team., • Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders., • Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations., • Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability., • Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.Success in This Role Looks Like, • Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)., • Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows., • Deliveries are production-ready: monitored, testable, documented, and maintainable.Required Qualifications, • 3–8 years of software or AI engineering experience (mid-to-senior)., • 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)., • Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)., • Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices., • Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations., • Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch., • Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)., • Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.Preferred Qualifications, • Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)., • Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management., • Experience with graph databases / knowledge graphs., • Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness). 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Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: CIO Strategy & Transformation This role sits within the CIO Strategy & Transformation organization and partners closely with Supply Chain, Data Center Operations, Sustainability, Legal, People, Go-To-Market, Finance & Accounting, and other enterprise teams. The team focuses on identifying high-value problems and delivering scalable, industry-leading AI agents that materially improve how CoreWeave operates. About the Role: The AI Growth Product Manager, Agents will own the strategy, roadmap, and growth of AI agents that power CoreWeave's internal teams and workflows. On a day-to-day basis, you will identify high-impact use cases, design and launch agents, and continuously iterate based on data and user feedback. You will define how agents are sourced, built, evaluated, and scaled—whether developed in-house or with external vendors. This role requires close collaboration with business leaders, engineering, and IT to deliver agents that integrate deeply with enterprise systems and drive measurable business outcomes. Who You Are: * 5–8 years of product management or closely related experience, including hands-on work with AI-, ML-, or automation-powered products * Proven experience taking AI or data-driven products from concept to launch and driving adoption across multiple teams or functions * Working knowledge of GenAI concepts (LLMs, embeddings, retrieval, prompt design, evaluation) and experience with AI platforms and APIs such as OpenAI, Gemini, Cohere, Glean, Perplexity, or similar * Experience defining and owning product roadmaps with measurable outcomes (e.g., time saved, risk reduced, decision quality improved) * Demonstrated ability to design and run experimentation frameworks, pilots, and A/B tests, using data to inform scale, iteration, or retirement decisions * Experience integrating products with enterprise systems (ERP, CRM, HRIS, DCIM, ticketing, or data platforms) and partnering closely with engineering teams * Strong metrics orientation, with experience defining and tracking KPIs such as activation, adoption, engagement, task success, and business impact Preferred: * Experience building or scaling internal copilots or AI agents in an enterprise environment * Exposure to AI compliance, security, governance, and human-in-the-loop supervision models Wondering if you're a good fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams—even if you aren't a 100% match. If some of this describes you, we'd love to talk. * You love turning ambiguous ideas into well-defined problems and shipped solutions * You're curious about how AI can fundamentally change internal workflows and decision-making * You're an expert at using data and experimentation to drive product adoption and growth Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast. We're in an exciting stage of hyper-growth that you won't want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our products and how we work together, which is reflected in our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together The base salary range for this role is $161,000 to $237,000.The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Location: New York, NY Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role. We are seeking an accomplished Innovation AI/ML Data Scientist to architect and implement advanced, data-driven solutions that improve quality, efficiency, and decision-making throughout the firm's legal services and operations. In close collaboration with attorneys, innovation leaders, and cross-functional enterprise teams, you will translate complex legal and organizational challenges into secure, scalable artificial intelligence and machine learning solutions. You will oversee the entire solution lifecycle—from experimentation and performance measurement through deployment and ongoing monitoring. Responsibilities include curating and governing datasets, establishing successful criteria for accuracy and safety, and developing production-ready models and applications, including both large language model (LLM)-based and traditional machine learning approaches. Reporting to the Director of Innovation Engineering, you will play a pivotal role in advancing and expanding the firm’s data science initiatives—streamlining routine processes, producing actionable insights, and enabling new capabilities that enhance client outcomes and organizational efficacy. The firm maintains rigorous standards for performance and cultivates a growth-oriented culture. Individuals who demonstrate initiative and commitment will have opportunities for expanded responsibilities and long-term career growth within the organization. Must be a U.S. Citizen or Green Card holder authorized to work in the U.S. – sponsorship is not available Desired Qualifications and Experience: · Bachelor’s degree in computer science, statistics, mathematics, engineering, or a related quantitative discipline required; preference given to candidates with advanced degrees. · Minimum of seven years delivering AI/ML solutions within professional services, financial, legal, or technical sectors, featuring significant cross-functional collaboration among legal and business stakeholders. · Proficient in Python for data analysis, statistical modeling, and AI/ML prototyping (including pandas, PyTorch, TensorFlow); skilled in advanced SQL; experienced in constructing data pipelines and preparing both structured and unstructured datasets. · AI & LLM Application Knowledge: Practical experience with AI platforms and tools, such as OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, and LangChain; strong understanding of vector databases, retrieval methods for unstructured data, and knowledge graph–based applications. · Demonstrated ability to design and implement evaluation frameworks for enterprise AI solutions, including monitoring accuracy, robustness, hallucinations, bias, and fairness. · Experienced with data visualization tools including Plotly, Tableau, and Microsoft Power BI; capable of translating complex findings into actionable insights. · Familiarity with legal use cases such as due diligence, contract review, and legal research; prior experience in a law firm or Microsoft Azure environment is preferred. · Proven track record mentoring colleagues, collaborating across multidisciplinary teams, and promoting widespread adoption of AI solutions. Summary of Responsibilities: · Translate Legal Workflows into AI Solutions – Facilitate discovery sessions with attorneys and practice stakeholders to systematically map end-to-end legal processes into actionable data and LLM requirements, along with measurable success criteria and evaluation plans aligned with business objectives. · Design and Prototype Intelligent Applications – Architect and assess AI/ML solutions, including retrieval-augmented generation (RAG) pipelines, vector database integrations, and orchestration frameworks, to determine feasibility, optimize performance, and ensure scalability. · Deliver High-Impact Legal Use Cases – Develop robust solutions addressing contract analysis, due diligence review, document summarization, large-scale agreement comparisons, and other practice-driven requirements. · Establish Evaluation & Governance Frameworks – Define and implement rigorous production-ready evaluation standards, focusing on accuracy, robustness, bias and fairness, hallucination mitigation, and business-aligned performance benchmarks, with ongoing monitoring protocols. · Develop Reusable Assets & Libraries – Create comprehensive internal libraries, documentation, and standardized development practices to promote efficient and scalable delivery of AI solutions. · Collaborate Across Technical & Legal Teams – Engage closely with embedded data science teams and business stakeholders to align priorities, co-create solutions, and drive successful adoption across practice groups. · Communicate Insights with Clarity – Present evaluation results, trade-offs, risks, and projected outcomes in clear, accessible terms for non-technical stakeholders, including attorneys and business leaders. · Advance Innovation Strategy – Assess emerging technologies, open-source tools, and vendor platforms to inform technology strategy, contribute to internal thought leadership, and support firmwide AI enablement initiatives. · Mentor & Enable Growth – Guide and mentor data scientists and engineers, encourage knowledge sharing, and strengthen the organization's AI capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description About Us Thrive delivers upon the promise of technology by enabling our clients’ digital transformation journeys with best practices on an AI, cybersecurity and cloud focused NextGen managed services platform. Thrive’s culture is powered by diverse talent, big ideas, and a customer-first mindset—and it’s what truly sets us apart. Thrive is built for people who want more than a weekday routine. If you’re hungry to grow, eager to tackle new challenges and ready to drive real impact in a rapidly expanding environment, then welcome to THRIVE! What You’ll Do The AI Solutions Consultant is a senior, client-facing AI Subject Matter Expert (SME) responsible for influencing artificial intelligence strategy and technology decisions throughout the sales lifecycle. Serving as a trusted advisor, this role partners closely with Sales Executives once discovery is initiated, bringing deep AI expertise to validate requirements, shape solutions, and articulate business-aligned AI strategies. The ideal candidate brings a strong passion for applied AI and recognized thought leadership, guiding buying conversations and shaping how organizations think about AI adoption, automation, data-driven decision-making, and responsible AI. This role plays a critical part in translating AI capabilities into measurable business outcomes. * Leverage deep AI expertise to validate client requirements, design tailored AI and machine learning solutions, and address technical objections, directly contributing to higher sales win rates. * Act as a proactive AI subject matter expert supporting sales executives during discovery, solution design, and validation, accelerating deal cycles and improving buyer confidence. * Architect and position AI solutions across use cases such as intelligent automation, predictive analytics, generative AI, conversational AI, and decision support systems. * Clearly articulate AI value propositions by translating complex technical concepts (models, data pipelines, GenAI architectures) into business outcomes such as efficiency, revenue growth, cost reduction, and competitive advantage. * Guide customers on AI readiness, including data strategy, governance, security, privacy, and ethical AI considerations. * Collaborate with internal product, engineering, and delivery teams to refine AI offerings, ensure accurate positioning, and provide strategic input into AI service roadmaps. * Represent Thrive externally at industry events, webinars, and client-facing initiatives, establishing credibility and thought leadership in AI and emerging technologies. * Mentor and enable sales and technical teams on AI positioning, messaging, and best practices to strengthen internal expertise and drive deal success. Skills You Bring * 2+ years of experience in AI, data science, machine learning, analytics, or AI-focused consulting/pre-sales roles supporting complex solution sales. * Experience with consulting firms, MSPs, or technology service providers delivering AI-enabled solutions preferred. * Deep understanding of AI and ML concepts, including supervised and unsupervised learning, deep learning, NLP, computer vision, and generative AI architectures (LLMs, RAG, fine-tuning). * Hands-on familiarity with AI platforms and ecosystems such as OpenAI, Azure AI, AWS AI/ML, Google Vertex AI, or similar. * Strong understanding of data pipelines, feature engineering, model lifecycle management, and MLOps practices. * Proven ability to accelerate deal cycles by providing actionable AI guidance during discovery and solution validation. * Expertise in translating AI capabilities into business impact, ROI, and measurable success metrics for executive and technical stakeholders. * Exceptional relationship-building and collaboration skills with internal teams and external customers. * Strategic thinking with the ability to shape AI roadmaps aligned to client objectives and maturity levels. * Ability to mentor and guide sales and technical teams on AI positioning, messaging, and responsible AI practices. * Comfort operating in fast-moving, ambiguous, and rapidly evolving AI and technology environments. How We Will Fuel Your Impact as an AI Subject Matter Expert * A real AI platform to shape and sell – Thrive’s rapidly evolving AI services portfolio (GenAI, automation, analytics, and AI-enabled managed services) gives you meaningful, production-ready solutions to architect, position, and influence — not slideware. * Executive-level credibility out of the gate – Thrive’s strong reputation as a trusted services provider opens doors at the executive level, allowing you to lead AI strategy conversations with authority and accelerate customer confidence. * Deep cross-functional support – You’ll partner with Sales Executives, engineers, architects, and delivery teams who value SME leadership and execution, enabling you to focus on strategy, solution design, and deal influence. * A front-row seat to AI innovation – From emerging GenAI use cases to applied AI at scale, you’ll help shape offerings, influence roadmaps, and stay hands-on with cutting-edge technologies that actually reach customers. * A platform to build your AI thought leadership – Thrive actively supports speaking engagements, webinars, content creation, and customer-facing initiatives, giving you visibility and a voice in how organizations adopt and operationalize AI. . 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Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Strategic Account Executive - AI Data Services HumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises. This isn't traditional SaaS sales. Our customers are building the future—advanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure. You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs. You Will: • Own strategic accounts: Drive the entire relationship with our most important AI customers—from initial engagement through expansion and renewal, • Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies, • Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations, • Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership, • Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution, • Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs, • Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before, • Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner, • 8+ years of enterprise sales or account management experience with a track record of exceeding quota, • 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders), • Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range, • Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams, • Ability to understand technical concepts quickly and translate them into business value, • Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions, • Executive presence and experience developing relationships with C-level stakeholders, • Track record of driving renewals and expansion within strategic accounts, • Excellent written and verbal communication skills, including creating executive-level materials, • Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator), • Strong project management abilities and exceptional organizational skills, • Technical background or degree in Computer Science, Engineering, or related field, • Experience selling services alongside software products, • Understanding of how training data impacts model performance, • Existing relationships within the AI research or frontier lab community You're not selling commodity software—you're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. 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. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job Description About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: • LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs., • Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations., • Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations., • Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies., • Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics., • Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations., • Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals., • Strong programming skills in Python with experience building production systems., • Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)., • Deep understanding of:, • Context windows and token limits, • Multi-turn conversation behavior, • Tool/function calling, • Structured outputs (JSON schema), • Prompt design and failure modes, • Experience integrating external APIs into production systems., • Proficiency in SQL., • Experience working with cloud platforms (GCP, AWS, or Azure)., • Strong problem-solving skills and ability to debug complex system behavior., • Experience designing evaluation frameworks for LLM-powered systems., • Understanding of embeddings, vector search, and RAG architectures., • Experience building agent or multi-agent workflows., • Experience with stateful execution environments or sandboxed code execution., • Experience with document automation (Google Docs, Slides, PDFs)., • Experience building internal developer tools or productivity platforms., • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • LLMs / AI APIs, • Data Warehouses (BigQuery, Snowflake, Redshift), • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $145,057-$175,256 * Level 2 - Possesses developing capabilities * $175,256-$205,456 * Level 3 - Possesses notable capabilities. * $205,456-$235,655 * Level 4 - Possesses strong capabilities. * $235,655-$265,855 * Level 5 - Possesses advanced capabilities. * * $265,855-$296,054 About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job Description About Tru Identity Tru Identity is on a mission to make the process of importing goods into the US more simplified. We are re-imagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year. Tru Identity is enabling companies globally to get compliant before their shipments have even left the port of origin. Doing so allows them to maintain on-time deliveries, keep sales flowing, and expand internationally. We do this by helping importers, marketplaces and logistics providers automate all the complex regulatory compliance work that can slow trade down — saving significant time and money, eliminating fraud, and endless frustration. And though we've only really just got started, we're growing fast with commercial and government customers already secured. Joining now means you'll be part of our foundational team with huge impact. You'll have real ownership, a voice in shaping the products and a chance to help build something transformative from the ground up. We move quickly, stay focused, and value grit and creative problem-solving above all else. About the position We're looking for a seasoned Backend Engineer to lead the architecture and development of our scalable, intelligent systems incorporating powerful AI features. In this hands-on role, you'll use your proven software engineering abilities to design, implement, and maintain robust, high-quality backend APIs and services running on AWS as well as mentoring junior engineers as the team grows. You should be an excellent communicator and a natural problem-solver with a bias for action. Tech stack: Python, Django, NextJS, PostreSQL, pgvector, Qdrant, RAG, OpenAI SDK, Langchain, CI/CD, Celery, BitBucket, Jenkins What will you do: • Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery, • Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and build and maintain reliable CI/CD pipelines, • Develop intelligent, AI features — Integrate OpenAI, LangChain, and vector databases to deliver production-grade AI functionality, • Lead and mentor junior engineers through code reviews and provide technical guidance, • 5+ years of proven software engineering experience with a deep focus on backend., • Expert in Python/Django with a focus on performance and scalability, • Prior experience working in a fast-moving startup environment having taken a product from 0 → 1, • Proficient in AWS and infrastructure management., • Proven track record of designing and shipping production-grade AI features leveraging LLMs, LangChain, and Retrieval-Augmented Generation (RAG) pipelines., • Hands-on experience of deploying, scaling and monitoring AI/ML models, including LLMs, on modern cloud infrastructure., • Familiarity with observability tools (Sentry, Prometheus, etc.), • Knowledge of microservices and event-driven architecture, • $170K - $190K USD annually, • Generous PTO and holiday schedule, • 100% paid healthcare, • HSA benefits, • $1000 WFH stipend per year, • Stock options #LI-JM1 #LI-Hybrid Thank you for considering this opportunity. Funded.club Senior Recruiters partner exclusively with Startups and are in direct communication with hiring managers and founding team members. Your application will be fully reviewed by a dedicated recruiter who will respond based on the matching of your experience and qualifications.

Manage full-cycle recruitment for our Forward Deployed Engineering team, including sourcing, managing the recruitment process, and closing candidates. We are looking for an experienced Recruiter to build out our Forward Deployed Engineering organization, driving full-cycle hiring for a team that tur

Job DescriptionAs a Generative AI Engineer at Regard, you’ll work across the full lifecycle of developing and deploying AI-driven features, from ideation and design to prototyping, implementation, evaluation, and iteration. You’ll collaborate closely with product and clinical teams to build systems that transform medical records into structured insights and clinician-ready documentation. Your work will center on applying modern LLMs to extract, summarize, normalize, and generate clinical information from diverse electronic health record (EHR) data sources. This includes developing robust pipelines, running model and prompt-engineering experiments, integrating models into production services, and ensuring outputs remain factual, safe, and clinically aligned. You’ll directly contribute to high-priority product initiatives, shape new AI capabilities, and advance our LLM platform. Your work will have a tangible impact on how clinicians understand patient data and how healthcare organizations improve care quality. About RegardOur mission is to bring world-class healthcare to everyone. Regard is an AI-powered Proactive Documentation platform that advances how care is delivered by reviewing all patient data in the EHR to recommend diagnoses and surface clinical evidence. Regard drafts a note even before the physician sees the patient, enabling an approach that gets documentation right at the point of care - we call it Proactive Documentation. This improves quality of care, reduces physician burden, and improves hospital finances. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.Our Tech Stack: • Frontend: TypeScript, React, • Backend: Python, PostgreSQL, Redis, AWS, • AI: OpenAI, Anthropic, LangfuseResponsibilities:, • Build and refine LLM-powered systems to extract structured medical concepts, diagnoses, medications, labs, and timelines from unstructured records, • Develop generation pipelines that produce clinically accurate drafts of notes (H&P, progress notes, discharge summaries, etc.) from factual inputs, • Design, prototype, and evaluate prompts, agent workflows, and retrieval-augmented generation (RAG) components, • Benchmark LLM systems to evaluate new models and audit accuracy, • Optimize inference cost, latency, and throughput through batching, caching, and model-selection strategiesQualifications:, • BS in Computer Science or equivalent experience, • 3+ years of professional experience with software development in one or more programming languages (Python preferred), • 1+ years of professional experience building generative AI products, such as RAGs, agents and chatbots, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Strong verbal and written communication skills, • Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)Preferred Qualifications:, • Familiarity with vector databases and embeddings generation, • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments Hybrid Work \u007C Location \u007C Work Authorization, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • We prefer hiring people within commuting distance of our offices because we value getting together in person regularly, • For those who enjoy working from the office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp \u007C Perks \u007C Benefits, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Monthly health & wellness budget, • Company-sponsored team retreat + social events

Job Description About Nayya Founded in 2019, Nayya is on a mission to connect people's most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya's platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all. About the Role Nayya is looking for a Senior Software Engineer, AI Applications to help design, build, and scale the core systems that power our next generation of AI-native products. In this role, you will be critical to developing Nayya's agentic platform to serve millions of employees across their health and wealth management. You will act as a technical leader and AI business partner, translating ambiguous needs into durable, production-grade AI-native workflows that provide clarity for employees and hundreds of hours of savings for our partners. What You'll Do • Develop AI-native features by building and integrating LLM-powered systems for extracting, structuring, and reasoning over complex healthcare and benefits data, • Build against AI infrastructure, including retrieval pipelines (RAG), embeddings, prompt orchestration, and internal agent frameworks, • Own end-to-end systems from design, application development, AI integrations and final product delivery., • Collaborate cross-functionally with Product, Design and other functions to understand customer workflows and translate them into technical solutions, • Implement evaluation pipelines and benchmarking strategies to measure LLM performance, and design guardrails that enforce safety, accuracy, and compliance thresholds across AI-powered featuresWho You Are, • 5+ years of software engineering experience building and operating complex applications in production, • Experienced integrating AI/LLM-powered systems (e.g., OpenAI, Claude) into real products, • Strong proficiency with modern, object-oriented languages and frameworks (Typescript, Ruby etc), • Comfortable completely owning backend systems and APIs and collaborating on frontend experiences, • Experience with AWS infrastructure or equivalent, • Experience with CI/CD pipelines, infrastructure as code, and monitoring tools, • Opinionated, adaptable, and energized by working in fast-moving, ambiguous environments, • Have a track record of setting technical direction and influencing engineering standards across a team Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. At StubHub, we're not just selling tickets; we're elevating the entire live event experience. Whether it's a user's first concert or their hundredth festival, StubHub is there from the discovery to the encore. Fans and promoters alike turn to us for the safest, most convenient ticketing service, and our engineers make it all happen. This role is designed for new graduates who want hands-on production experience, strong mentorship, and exposure to modern engineering practices, including AI-assisted development and GenAI tools such as Claude, in a collaborative team environment. You'll work closely with Senior Engineers, and SDE IIs, contributing meaningful code while growing your technical skills. Location: Hybrid (3 days in office/2 days remote) - New York, NY About the Team: Business Operations owns the post-purchase journey for fans through three core teams: Marketplace Operations, Active Support, and Fulfillment. The Marketplace Operations team earns and protects fan trust by delivering the best ticket inventory worldwide. We're obsessively customer-focused, constantly experimenting to make buying and selling tickets seamless and reliable. Marketplace Ops owns the bottom of the funnel, everything after a transaction, where trust is built or broken. From refunds and payments to shipping extensions and replacements, we build the systems that back every order. Our engineers tackle 0 to 1 initiatives at massive scale, designing resilient, high-performance architecture and driving ideas from concept to delivery, directly impacting millions of fans worldwide. What You'll Do: Invent new ways fans experience tickets using Agentic AI • Integrate AI into engineering at scale, leveraging Claude AI, OpenAI to supercharge workflows, writing code, brainstorming designs, running Q&A agents, generating test plans, drafting PRs, and more., • Ownership & Impact: Tackle complex, high-impact problems, own projects end-to-end, and build tools that enable millions of fans and internal users to have seamless, reliable experiences., • AI-First Product Direction: Develop real-world AI-enabled features that go beyond demos, powering meaningful workflows and automation., • Recent graduate or software engineer with up to ~1 year of experience (including internships, co-ops, or substantial academic projects)., • Strong understanding of computer science fundamentals, including data structures and algorithms., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them—from the moment they start searching for tickets to the moment they're walking into the venue. At StubHub, we're not just selling tickets; we're elevating the entire live event experience. Fans come to us to discover, buy, and sell tickets to the events they love—and our engineers make that experience fast, intuitive, and trustworthy across web and mobile. This role is designed for new graduates who want hands-on production experience, strong mentorship, and exposure to modern engineering practices, including AI-assisted development and GenAI tools in a collaborative team environment. You'll work closely with Senior Engineers and SDE IIs, shipping meaningful features while leveling up quickly. Location: Hybrid (3 days in office / 2 days remote) — New York, NY About the Team: The Consumer Experience team owns the end-to-end journey for millions of fans discovering, buying, and selling tickets on StubHub's web and mobile platforms. Every search, recommendation, checkout flow, and confirmation page is built by our teams. We operate at global scale, serving fans across 60+ regions and 30+ languages with fast, localized, and reliable experiences during high-demand moments. This is high-impact engineering with real-time traffic spikes and complex distributed systems challenges. Our teams are deeply cross-functional, with engineering, product, design, and data working in true partnership and shared ownership. Engineers influence strategy, shape roadmaps, and have direct access to experimentation and insights that guide decisions. We build across the full stack, choosing tools and technologies that help us move quickly and deliver quality at scale. We are relentless about understanding fans, using data and rapid iteration to raise the bar on every release. If you are excited to build products used by millions, solve meaningful technical challenges, and define the future of live event commerce, we would love to build with you. What You'll Do: • Build AI-first consumer product experiences, • Invent and ship new ways for fans to discover and buy tickets using AI-powered product thinking and tooling., • Prototype quickly, validate ideas with data, and iterate into polished experiences that feel simple and delightful., • Integrate AI into how we build, • Use GenAI tools (e.g., Claude, OpenAI) to accelerate the full development lifecycle: brainstorming and design exploration, code generation, test planning, debugging, documentation, and drafting PRs., • Apply AI to analysis and iteration—summarizing qualitative feedback, spotting patterns in product behavior, and turning insights into concrete improvements., • Deliver features at global scale, • Build and evolve high-traffic web and mobile product surfaces used by millions of fans., • Contribute to systems and APIs that support personalization, localization, experimentation, and reliable performance across regions., • Learn fast with strong mentorship, • Recent graduate or software engineer with up to ~1 year of experience (including internships, co-ops, or substantial academic projects)., • Strong CS fundamentals (data structures, algorithms, and core programming concepts)., • Basic experience building user-facing applications and/or consuming APIs., • Product impact: You'll ship directly to fans and see your work in the core StubHub experience., • AI-first culture: We don't treat AI as a demo—we use it to build better products and to build faster, across ideation, analysis, implementation, and iteration., • Experimentation mindset: We run tight loops: build → measure → learn → improve., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

Job DescriptionSalary: ElPreventa Tcnico Senior es responsable de liderar el diseo, dimensionamiento y presentacin de soluciones tecnolgicas complejas, alineando las necesidades de los clientes con las capacidades tcnicas de la organizacin. Su funcin combina visin tcnica, habilidades comerciales y capacidad de comunicacin ejecutiva, apoyando a los equipos de ventas y delivery en la elaboracin de propuestas de alto impacto orientadas a transformacin digital, nube, modernizacin de aplicaciones y seguridad. Responsabilidades Principales 1. Consultora y Diseo de Soluciones • Levantar requerimientos tcnicos y funcionales con clientes y stakeholders., • Disear arquitecturas de referencia sobre Microsoft Azure y AWS, aplicando principios de cloud-native, DevOps, y microservicios., • Elaborar documentos de diseo tcnico, diagramas de arquitectura, y roadmaps de migracin o modernizacin., • Recomendar frameworks, lenguajes, patrones de diseo y metodologas de desarrollo acordes al contexto del cliente. 2. Apoyo a Ventas y Propuestas • Preparar presentaciones tcnicas, demos, y sesiones de discovery junto al equipo comercial., • Desarrollar propuestas tcnico-econmicas que detallen alcance, beneficios, riesgos, costos y SLA., • Participar en RFPs, RFIs y workshops con reas de tecnologa, seguridad y negocio del cliente., • Identificar oportunidades de cross-selling y up-selling de servicios cloud, desarrollo y soporte. 3. Buenas Prcticas y Gobierno Tcnico • Promover estndares de arquitectura segura, observabilidad, CI/CD y automatizacin., • Aplicar buenas prcticas de ingeniera de software (SOLID, Clean Architecture, IaC, API-first)., • Alinear las soluciones con las polticas de ciberseguridad, cumplimiento y privacidad (ISO 27001, GDPR, Ley 155-17, etc.)., • Participar en revisiones de cdigo, diseo y calidad tcnica durante fases de preventa o PoC. 4. Innovacin y Capacitacin • Mantenerse actualizado en tendencias de IA, automatizacin, contenedores, serverless, y seguridad cloud., • Contribuir con contenido tcnico interno: playbooks, whitepapers y kits de propuesta., • Mentorizar a ingenieros y consultores junior del rea comercial y tcnica. Requisitos del Cargo Formacin Acadmica: • Ingeniero en Sistemas, Ciencias de la Computacin, Electrnica o reas afines., • Deseable Maestra o especializacin en Arquitectura de Software, Cloud Computing o Ciberseguridad. Experiencia: • Mnimo 5 a 8 aos de experiencia en desarrollo y arquitectura de software., • Al menos 3 aos de experiencia comprobada en preventa tcnica o consultora de soluciones cloud., • Experiencia en presentaciones tcnicas y workshops con clientes empresariales. Conocimientos Tcnicos Avanzados: • Cloud Platforms: Microsoft Azure (App Services, AKS, Functions, DevOps, AD/Entra ID, Key Vault, Monitor) y AWS (ECS, Lambda, RDS, S3, IAM, CloudFormation)., • Ingeniera de Software: .NET, Node.js, Python, CI/CD, API Management, patrones de integracin., • Seguridad y Cumplimiento: Azure Security Center, Defender for Cloud, AWS Security Hub, MFA, IAM, RBAC, DLP, Compliance., • Office 365 / Microsoft 365: Integraciones con Azure AD, Exchange Online, SharePoint, Power Platform., • Metodologas giles: Scrum, Kanban, DevOps, SAFE, con dominio de herramientas como Azure DevOps, Jira o GitHub Enterprise., • Infraestructura como Cdigo: Terraform, ARM/Bicep, CloudFormation, Ansible., • Conocimientos Deseables: Arquitectura Zero Trust, FinOps, automatizacin con IA (OpenAI, Cognitive Services). Competencias Clave • Comunicacin efectiva con pblicos tcnicos y no tcnicos., • Orientacin a resultados y pensamiento analtico., • Alta capacidad de documentacin tcnica y storytelling comercial., • Liderazgo colaborativo y autogestin., • Capacidad para trabajar bajo presin en contextos de RFP o cierres comerciales. Certificaciones Valoradas • Microsoft Certified: Azure Solutions Architect Expert / Azure DevOps Expert., • AWS Certified Solutions Architect Professional o Associate., • Certified Scrum Master (CSM) o SAFe Agilist., • Microsoft 365 Certified: Security Administrator o Enterprise Administrator Expert., • ISO 27001 Lead Implementer / CompTIA Security+.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. At StubHub, we're not just selling tickets; we're elevating the entire live event experience. Whether it's a user's first concert or their hundredth festival, StubHub is there from the discovery to the encore. Fans and promoters alike turn to us for the safest, most convenient ticketing service, and our engineers make it all happen. Why We Need You:Imagine a world where attending any live event is just a click away—a world where the excitement starts not at the gate, but the moment they decide to go. That world is built by you. Without your skills, without your dedication to enhancing the user journey through innovation and technology, the magic fades. You are the architect of dreams for millions of fans. Without you, there's no journey to begin.Location: Hybrid (3 days in office/2 days remote) – New York, NY About the team: Business Operations owns the post-purchase journey for fans through three core teams: Marketplace Operations, Active Support, and Fulfillment. The Marketplace Operations team earns and protects fan trust by delivering the best ticket inventory worldwide. We're obsessively customer-focused, constantly experimenting to make buying and selling tickets seamless and reliable. Marketplace Ops owns the bottom of the funnel, everything after a transaction, where trust is built or broken. From refunds and payments to shipping extensions and replacements, we build the systems that back every order. Our engineers tackle 0 to 1 initiatives at massive scale, designing resilient, high-performance architecture and driving ideas from concept to delivery, directly impacting millions of fans worldwide. What You'll Do: Invent new ways fans experience tickets using Agentic AI • Integrate AI into engineering at scale, leveraging Claude AI, OpenAI to supercharge workflows, writing code, brainstorming designs, running Q&A agents, generating test plans, drafting PRs, and more., • Ownership & Impact: Tackle complex, high-impact problems, own projects end-to-end, and build tools that enable millions of fans and internal users to have seamless, reliable experiences., • AI-First Product Direction: Develop real-world AI-enabled features that go beyond demos, powering meaningful workflows and automation., • 3-4 years of software development experience across languages such as C#, Java, Python, or Go., • AI experience with interest in building AI-enabled interfaces and workflows; exposure to tools like ChatGPT, Claude, or other LLM-based systems., • Product-oriented mindset with a passion for building intuitive, high-quality user experiences that balance technical correctness., • Obsessed with eliminating waste, boosting operational efficiency, and building tools that empower users to do more, faster, and smarter., • Data-Driven engineers who turn complex datasets into actionable insights to guide product and engineering decisions. What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$165,000—$200,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Active Support Team: The Active Support team is transforming post-purchase experiences. Our mission is to resolve as many customer issues as possible instantly, without a live agent, while ensuring exceptional service when human support is needed. About the Role: As an Software Engineer II (Backend), you'll build 0-to-1 features for our AI-powered chatbot, creating step-by-step experiences that help customers resolve issues directly in chat using OpenAI and Claude. You'll own a key part of the customer journey; handling orders, ticket substitutions, and refunds, impacting millions of users worldwide. Location: Hybrid (3 days in office/2 days remote) – New York, NYWhat You'll Do • Build and scale intelligent systems from the ground up, shaping the future of automated customer support globally., • Develop agentic AI that takes action on behalf of users, resolving issues faster and smarter., • Create cutting-edge backend solutions powering millions of customer interactions worldwide., • Exposure to AI-Driven User Experiences: hands-on experience building real-world products that integrate and present AI-powered functionality., • Collaborative Engineering Environment: work alongside software engineers of varying experience levels in a team that values thoughtful execution and shared ownership., • 2 - 4 years of software development experience across languages such as Java, Python, Go, or C#, • AI experience with interest in building AI-enabled interfaces and workflows; exposure to tools like ChatGPT, Claude, or other LLM-based systems., • Product-oriented mindset with a passion for building intuitive, high-quality user experiences that balance technical correctness., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

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