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Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

Experience working with NLP and Machine Learning.Expert experience working with GenAI and LLM tools (i.Tangible experience working with ETL, relational databases, NoSQL or MongoDB.Worked on Vertex AI and good experience on Voice AI conversation.Posting Date 03/26/2024, 03:23 PM.

Master's or PhD in AI, ML, NLP, or a related field, and 2+ years of industry experience working with LLMs, AI model optimization, and NLP pipelines. Experience with agentic AI workflows and chatbot-style LLM interactions. AI/ML: Python, LLM APIs (OpenAI, Anthropic, etc.

Job Description Senior Software Engineer (Backend Focus) - New York (3 days a week Onsite) We are looking for a Staff Software Engineer with 7-8+ years of experience to architect the core intelligence behind our product. This individual will be crucial in defining scalable frameworks for data ingestion, ranking, personalization, and model orchestration, ensuring highly personalized and high-quality results for venture capital firms. They will also lead agentic experimentation and evaluation, pushing the boundaries of AI and LLM integrations in production to redefine software and push on this frontier. Mandatory:- 7+ years of experience in backend software engineering, building distributed systems or large scale backend architecture Designed and scaled search/recommendation/ranking systems Led or heavily contributed to ML/LLM integrations in production Track record of technical leadership and mentoring What will you be doing? • Architect the end-to-end sourcing engine from data ingestion, ranking, personalization, and model orchestration., • Define scalable frameworks for retrieval, reranking, and LLM driven evaluation., • Drive technical discovery for emerging technologies like memory systems, schema, prompt libraries, and agentic frameworks., • Partner with product and design to define intuitive and fast LLM powered sourcing patterns., • Mentor and guide engineers, raising the bar for system design, documentation, and technical decision making.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact. What you'll do • Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM, • Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration, • Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction, • Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations, • Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact, • Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices, • Present strategy, progress, and results to senior leadership and the executive teamWhat we're looking for, • 7+ years of experience in software engineering, AI/ML, or technical product leadership, • At least 2 years leading teams that shipped AI-powered systems in production, • Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases, • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions, • Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact, • Apply experience working across functional boundaries to redesign processes with strong instincts for change management, • Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience, • Maintain a bias toward shipping by moving fast and setting clear expectations for high standardsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Role: Data Engineer Gen AI / Python Location: Whippany NJ (2 daysoffice) - hybrid Pleasee share me tha profiles at Job Description: Experienced and skilled in designing, building, and maintaining high-quality data pipelines, preprocessing workflows, and vector databases required for training, fine-tuning, and deploying Large Language Models (LLMs). Build and maintain high-throughput data pipelines, infrastructure, and storage solutions specifically to feed, train, and deploy AI/ML models, implementing RAG (Retrieval-Augmented Generation) systems, data cleaning, and model evaluation to ensure efficient, scalable, and reliable LLM applications. Required Skills & Qualifications Strong proficiency in Python is essential, along with SQL and NoSQL for data management. Experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI API Experience with Apache Spark, Kafka, or modern data stack tools. Knowledge of NLP techniques, word embeddings, tokenization, and vector mathematics. Familiarity with TensorFlow, PyTorch, or Hugging Face Familiarity with cloud platforms (AWS, GCP, Azure), CI/CD, Docker, and Kubernetes. Key Responsibilities Design and build robust ETL/ELT pipelines for unstructured text data, including scraping, cleaning, deduplication, and transformation for LLM training. Build and maintain vector search solutions (e.g., Pinecone, Milvus, Weaviate, Chroma) to store and retrieve embeddings for RAG systems. Prepare high-quality datasets for fine-tuning adapters (e.g., LoRA) and train LLMs using frameworks like PyTorch or TensorFlow. Implement Retrieval-Augmented Generation using frameworks like LangChain or LlamaIndex to connect LLMs to company data. Develop evaluation frameworks for model performance, testing for accuracy, hallucination, and bias, and monitor deployed models. Create APIs and internal web tools for data annotation, curation, and model interaction

Applied Researcher II (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

About the job Senior Software Engineer - LLM Evaluation - RibbitZ.

You've contributed to popular open source projects, led SDK adoption at your organization, are familiar with tracing and observability tools like OpenTelemetry, or worked on tools in the LLM/AI ecosystem. We're hiring engineers to build the open-source libraries that customers use to observe, unders

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodatio

Ensure scalability, reliability, security, and performance of applications. Position title: full stack engineer. This includes working with emerging LLM-powered capabilities to drive intelligent data processing and user experiences.

We are seeking a well-rounded hands-on quantitative developer that is experienced in building systems that support the full investment management cycle with the main focus on full stack development using Python, Java and AI/LLM tools. Desire to use AI/LLM tools in development efforts.

Job Description About Us At Unframe, we build AI-powered products that address real-world challenges.Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. What You'll Do As a Full Stack Software Engineer, you'll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. You'll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution. Responsibilities • Develop and deliver full-stack AI-powered applications on top of Unframe's platform., • Work closely with customers and internal teams to tailor solutions., • Extend the platform and UI/UX layer as needed., • Collaborate with platform and research teams to integrate AI capabilities into production use., • 5 + years of hands-on software-engineering experience., • Proven record of shipping real user-facing products end-to-end., • Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL., • Strong communication skills and a product mindset., • Experience working with AI or LLM-based applications., • Experience working with B2B or enterprise customers.

Job Description VP of Marketing Location: Berlin or US (East Coast Preferred ) About Unframe: Unframe is an AI-first startup helping the world's largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we're building a fast-growing, revenue-generating company working with Fortune 500 customers globally About the role Lead Unframe's global marketing strategy. What you'll do • Own and execute Unframe's global marketing strategy, aligned to company growth and revenue goals., • Lead and scale the global marketing function, including team development, planning, investment, and organisational structure., • Partner closely with Sales, Product, and executive leadership to strengthen category positioning, align priorities, and drive pipeline., • Oversee demand generation, product marketing, PR, marketing operations, website and brand/communications strategy What we are looking for • VP-level marketing leadership experience with ownership of strategy, budget, headcount, and measurable revenue impact., • Strong track record leading marketing across both US and international markets, • Deep enterprise B2B marketing experience within startup and high-growth environments., • Expertise in enterprise technology, AI, technical buyer journeys, and product/category positioning. Real ownership from day one. Drive decisions, shape ideas and make them work. • Your fastest learning years. Build alongside founders in a space that moves weekly., • You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role. What you'll do • Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows, • Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups, • Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability, • Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback, • Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time, • Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities, • Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architectureWhat we're looking for, • 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production, • Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services, • Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use), • Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred), • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred), • A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional, • Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfectionWhile not required, these are a plus:, • Experience with vector databases, embeddings, or semantic search is a plusOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Role & Responsibilities Overview: Architecture & Technical Leadership • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers, • Design and govern agentic orchestration framework for multi-step workflows, • Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs, • Design configurable, metadata-driven framework for multi-LOB onboarding, • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows, • Establish multimodal integration approach combining structured, unstructured, and external data, • Define AI safety and guardrails (PII, hallucination control, policy constraints), • Establish ModelOps and PromptOps frameworks, • Lead technical execution across AI, data, and platform teams, • Guide engineers (AI, data, full-stack) and ensure alignment with architecture, • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture, • Background: Strong experience in designing enterprise-scale platforms and distributed systems, • Domain (good to have): Insurance / reinsurance / financial services, • Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field, • GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design, • Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management, • Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs, • AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control, • Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring, • DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

A top healthcare consultancy is seeking an AI/Data Architect to join their Enterprise Architecture group. This remote position requires expertise in data architecture, data governance, and AI applications. The ideal candidate will have strong skills in relational and NoSQL databases, data migration,

Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a highly technical Senior Prompt Engineer based in Netherlands to lead the end-to-end migration of template workflows into high-performance LLM autoraters. This is a specialized role for a technic

Overview We're living in an era of more possibilities, more innovation, and more openness. As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on some of the most interesting and challenging AI problems. Our vision is bold and broad -- to build a truly open architecture v1 platform -- to enable and reimagine how users can summon bespoke AI agents to drive real meaningful business outcomes. Responsibilities As a Member of Technical Staff , this role involves crafting user-facing features powered by Generative AI while taking full ownership of their development from inception to delivery, ensuring exceptional quality and seamless implementation. You'll be working closely with some of the world's most recognizable brands, helping them catapult into the AI transformation era.Ideal candidates will have a balanced combination of theoretical AI knowledge and practical software development experience, enabling them to design, develop, and deploy sophisticated software systems at scale, with an experimentation and iterative mindset. Candidates for this role should also demonstrate customer passion, a bias for action, and an ability to work effectively across organizational boundaries.Come and build the next generation of AI agents! Qualifications Required Qualifications: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: * Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code. * Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability. * Practical Experience with AI/LLMs: * Experience designing and implementing ML/LLM-based solutions in production environments. * Experience leveraging generative AI technologies to develop innovative and user-focused product features. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. ()

Company description Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview Why Work with Us? The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver business results to our clients. About the Role We are seeking a passionate and experienced Director of Technology to join our Data Foundation Platform team, working closely to architect and implement scalable data ingestion, processing, and storage solutions for a specific marketing channel (Search, Social, Programmatic, or Commerce). This individual will play a crucial role in building the data infrastructure that powers OneSuite's AI-driven insights while bringing AI-native thinking to data platform design. Our application suite helps Publicis Groupe Performance experts drive holistic search, social, programmatic, and commerce marketing strategies for our global clients. This role offers a clear growth path into AI Orchestration or Agent Studio leadership as the platform evolves. Your Impact This role blends deep technical expertise in data engineering with AI awareness and leadership potential. You will be designing and implementing the data foundation that powers OneSuite's intelligent marketing platform while fostering AI-first approaches to data architecture. Your understanding of scalable data systems, combined with AI/LLM awareness, will directly translate into enhanced performance, intelligence, and scalability for our applications. This position offers significant growth opportunities into AI Orchestration team leadership, making it ideal for someone looking to transition from data engineering into AI platform leadership. Your work will directly influence the data quality, accessibility, and AI-readiness of our global platform, driving measurable impact for our clients. Responsibilities * Lead data architecture design and implementation for assigned marketing channel (Search, Social, Programmatic, or Commerce), ensuring scalable and AI-optimized data flows. * Own the technical roadmap for data foundation platform components, aligning with overall OneSuite product strategy and AI orchestration requirements. * Design and implement robust data ingestion pipelines from marketing APIs, third-party sources, and campaign management platforms, with specific focus on data formats optimized for AI/LLM consumption. * Architect scalable data processing workflows for both real-time streaming and batch analytics, including: * Campaign performance data aggregation and transformation * Customer journey data processing and enrichment * Marketing attribution and conversion tracking * AI training dataset preparation and feature engineering * Build enterprise-grade data storage solutions optimized for both traditional analytics and AI/ML model training and inference. * Establish comprehensive data quality frameworks with automated monitoring, validation, lineage tracking, and alerting systems. * Drive AI-native data platform design, integrating vector-ready processing for embedding generation, similarity search, and RAG system optimization. * Collaborate closely with Rebecca on cross-channel data platform strategy, architecture standards, and integration patterns across Search, Social, Programmatic, and Commerce channels. * Provide technical guidance and mentorship to junior data engineers, fostering a culture of best practices in both data engineering and AI integration. * Lead cross-functional collaboration with AI Orchestration, Agent Studio, and frontend teams to ensure seamless data integration and optimal performance. * Implement data security, privacy, and compliance frameworks for enterprise marketing data handling across global markets. * Research and evaluate emerging AI-enhanced data processing tools, vector databases, and data platform technologies for continuous platform improvement. * Design and implement high-performance data APIs that serve both traditional analytics dashboards and AI agent workflows with sub-100ms response times. * Establish comprehensive monitoring and observability for data pipelines, ensuring 99.9% uptime and proactive issue detection. Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field., • 5+ years experience in data engineering with emphasis on high-volume marketing data processing and real-time analytics., • 2+ years experience in technical leadership roles, including mentoring team members and driving architectural decisions., • Production experience building and maintaining data pipelines processing millions of marketing events daily., • Strong expertise in data ingestion from marketing platforms (Google Ads, Facebook Ads, programmatic DSPs, Amazon Advertising)., • Advanced knowledge of data processing frameworks including Apache Spark, Kafka, Airflow, and modern streaming technologies., • Expert-level proficiency in Python and SQL, with hands-on experience in at least one additional language (Scala, Java, or Go)., • 1+ years demonstrable experience working with AI/ML systems, including understanding of data requirements for LLMs, RAG architectures, and vector processing., • Deep understanding of cloud data infrastructure (AWS, GCP) including data lakes, warehouses, and real-time processing services., • Strong experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, Elasticsearch) and data modeling for analytics., • Familiarity with AI data patterns including embedding generation, vector similarity search, and data preparation for model training., • Experience with containerization technologies like Docker and Kubernetes for data service deployment., • Strong advocate for data quality, testing methodologies, and CI/CD pipelines for data platform development., • Solid understanding of data structures, algorithms, and distributed systems design principles., • Excellent communication and collaboration skills, with ability to work effectively with both technical and business stakeholders. Bonus Points • Understanding of performance marketing concepts, campaign optimization strategies, and marketing attribution models., • Experience with vector databases (Pinecone, Weaviate, Chroma) and embedding pipeline optimization., • Real-time data streaming experience with sub-second latency requirements for campaign optimization., • Machine learning model deployment and MLOps experience in production environments., • Open-source contributions to data engineering, AI, or marketing technology projects. Additional information About Publicis Performics: Are you ready to re-invent digital marketing? At Performics, we’re accelerating the great missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you’re ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we’d love to meet you. We’ll give you the tools, support, and freedom to lead, innovate, and grow. We hire exceptional people for our global headquarters in the US alongside major cities across the world. Our international presence spans 57 markets (and growing) including regional hubs in London, Dubai, and Singapore. Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact . All your information will be kept confidential according to EEO guidelines. Compensation Range: $132,715.00 - $208,840.00 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. #LI-MB5 #DNI

JOB DESCRIPTION Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences-while meeting the high standards for security, explainability, reliability, and compliance required in financial services. We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. The Role As a Senior Staff Data Engineer - Agentic AI, you will operate as a senior individual contributor within Amex Technology, helping define how agentic AI systems are designed, built, and operated across the company. You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems. You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Staff engineers are expected to actively influence what gets built and how agentic systems come together across teams. This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space. Mentoring, developing and managing direct reports may be in scope for some of our opportunities. RESPONSIBILITIES What You’ll Do • Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design., • Design, build, and operate production-grade agentic AI systems used across multiple products., • Own and evolve shared agentic AI capabilities, including:, • Agent frameworks and orchestration layers, • Planning, tool use, and memory strategies, • Retrieval and grounding (RAG) pipelines, • LLM infrastructure, inference, and model gateways, • Evaluation, observability, and safety tooling for autonomous systems, • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost., • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production., • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements. We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI. Core engineering stack • Languages: Python, Go, TypeScript, • APIs and RPC: REST, gRPC (and in some areas tRPC), • Cloud and infrastructure: AWS and/or GCP, Kubernetes, • Distributed systems: event-driven architectures, including Kafka, • Integration of commercial and open-source LLMs into agentic workflows, • Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives, • Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow QUALIFICATIONS What We’re Looking For • 12+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products., • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure., • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation., • Fluency with AI-assisted and agentic development workflows., • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems., • Ability to influence technical direction and align teams without formal authority., • Experience building agentic systems in fintech or other regulated industries., • Experience as a founding engineer or early technical leader in AI-driven products., • Demonstrated success delivering technically complex autonomous systems that customers actively rely on., • Meaningful contributions to open-source AI or agentic frameworks. Work Arrangement: This role may be filled as either virtual or hybrid, depending on the selected candidate’s location and business needs. Candidates who live within commuting distance of a company office may be designated as hybrid and generally will be expected to work from the office three days per week. Candidates who do not live within commuting distance of a company office may be eligible for a virtual work arrangement, subject to company policy, business needs, and applicable law. Final work arrangement will be confirmed during the hiring process. ABOUT US At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. ABOUT THE TEAM We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: • Competitive base salaries, • Bonus incentives, • 6% Company Match on retirement savings plan, • Free financial coaching and financial well-being support, • Comprehensive medical, dental, vision, life insurance, and disability benefits, • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need, • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy, • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location), • Free and confidential counseling support through our Healthy Minds program American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “ Know Your Rights ” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: . The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

TL;DR Kharon is seeking a full-time Senior Software Engineer based in New York City. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: As the Tech Lead for our Growth team, you will be the architectural backbone of our internal data ecosystem. You will lead the design and implementation of new applications and data pipelines. This is a "player-coach" role requiring a full-stack mindset and deep expertise in data architecture. You will work alongside a Director of Data Analytics, QA/BA, and Director of Product teammates and work cross functionally with Marketing, RevOps, Sales, and Client Services to produce comprehensive and accessible insights on our business. • BI: Support of our internal business intelligence applications. Own the architecture to ensure services are modular, scalable, and performant (utilizing React/Vue for frontend and Python/Java for backend)., • Data Migrations & Systems Integration: Design and execute complex data migrations and integrations., • ETL & Data Modeling: Build and optimize resilient ETL pipelines (e.g., using AWS Glue, Airflow, or DBT) to ingest data into our warehouse/data lake. Implement robust schema designs for relational and potentially graph databases., • User Administration and Account Service Support: Provide technical leadership for our user and customer administration, ensuring secure, scalable, and intuitive management of internal and external user access., • Team Leadership & Best Practices: Mentor engineers, conduct code reviews, and establish standards for API design (REST/GraphQL), documentation, and automated testing (SDLC optimization). QUALIFICATIONS:, • 8+ years of software engineering experience, with 2+ years in a technical leadership or "Lead" capacity and some intersection with internal business processes., • Strong coding skills in Python or Java, with deep experience in modern web frameworks and cloud-native architectures (AWS preferred)., • Expert-level knowledge of SQL and relational database design. Experience with data warehousing (Snowflake, Databricks, or BigQuery) and "Medallion" architecture (Bronze/Silver/Gold layers)., • Proven track record of interacting with and developing against 3rd party APIs, particularly Salesforce., • Experience with containerization (Docker, Kubernetes) and CI/CD automation to ensure high availability and low latency., • Ability to translate complex business requirements from Marketing, Sales, and Client Services into technical roadmaps., • Familiarity with LLM integrations or vector databases to enhance internal BI search capabilities. NICE TO HAVES:, • Experience with Graph Databases (Neo4j, Neptune) for mapping complex client relationships., • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk., • Experience with SaaS CRM (Salesforce, HubSpot), RevOps tooling, and marketing automation ecosystems. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Software Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances, • FSA program for both medical and dependent care, • Long term disability, • 401k + Roth with matching and immediate vesting If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-Hybrid #LI-AG1

Platform Engineer We're looking for a Platform Engineer to own the foundational primitives and surfaces that power Antimetal's product engineering velocity, service infrastructure, and the connectivity layer between our agents and customer environments. This role is core to how we ship. You'll architect and operate the systems that every agent invocation, every customer onboarding, and every code review depends on - our internal admin tooling, our deploy and observability pipelines, our MCP gateway, and the integration substrate that determines whether a new customer gets value in days versus weeks. You'll partner closely with product, FDE, and research, and your work will compound across every team that builds on top of you. About Antimetal Antimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. What You'll Do: You'll work across a couple tightly coupled areas. We're flexible on entry points and will match scope to strengths. Platform Acceleration. Maximize the productivity of every engineer at Antimetal. You'll architect and optimize the development infrastructure behind our agent and product work — internal admin tooling (Anvil), CI/CD, deploy pipelines, dev/demo environments, and the Claude-Code-native skills our engineers use every day to ship. Your work has a multiplier effect across the entire engineering org: when the inner loop is faster, every product team ships faster. Service Infra. Build and maintain the core infrastructure that powers Antimetal's services — service architecture on Kubernetes, deployment pipelines, observability (OTEL, Datadog), shared libraries, secret management, and the platform abstractions that let product teams ship reliable services without thinking about the substrate. You'll set the bar for what "production-ready" means at Antimetal. Data Infrastructure. Data is the substrate everything else at Antimetal runs on top of — evaluations, intelligence, experimentation, the product experience itself. If the data is wrong, thin, or disorganized, every layer above compounds the failure. You'll own the schema, storage, and access patterns for the systems we depend on most: investigation traces, agent trajectories, the resource graph, customer telemetry, and the typed blobs that capture state we don't yet know how to structure. You'll hold the line that data integrity is non-negotiable, know when to normalize and when to defer structure, and reach for the simplest primitive that will carry us the longest before adding heavier tooling. Connectivity. Our agents are only as good as the data and tools they can reach. You'll own the MCP gateway that routes every tool call, the OAuth and credential management that keeps customer integrations authenticated, the deployment and lifecycle of self-hosted MCP servers, and the unified integration catalog that powers both first-class integrations and the long tail. Reliability and enterprise trust are the bar: token refresh at scale, health checks that fire before customers notice, isolation that holds when partner servers misbehave. What You Bring: * At least 3 years of experience in platform, infrastructure, or backend engineering, preferably at a high-growth or AI-native company. * Strong fundamentals in service-oriented architectures, networking, and systems design. You can reason about how data and traffic flow through a distributed system and what breaks first. * Proficient in TypeScript, with hands-on experience operating production services on Kubernetes. * Proven ability to take ambiguous goals from prototype to production, using customer feedback and operational data to drive product and architectural decisions. * Strong code and data modeling skills — clean, scalable, and easy for the next person to extend. * Take a product-focused approach to platform work. You measure success by whether the engineers you serve actually love and adopt what you built. * Use AI aggressively in your personal engineering workflow. We're all heavy users of Claude Code, and regularly add new AI tooling across our organization. Bonus: * Experience with MCP, OAuth, API gateways, or multi-tenant integration platforms. * Experience with modern observability (OTEL, distributed tracing) and SRE best practices. * Experience building internal admin or developer tooling consumed by both humans and agents. * Experience working on agent or LLM systems — context management, tool use, sandboxing. Who You Are: * Identify as a builder. * Are excited to work in-person from our new and spacious office in New York. * Love working in a startup environment (experience in a startup or obsession with going zero-to-one). * Enjoy working with people who are ambitious, caring, and think in systems. * Thrive in a fast-paced iterative environment where experimentation is essential. What We Bring: * Pay & ownership — Competitive salary with generous equity grants. * Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits. * Unlimited PTO — Take the time you need to recharge. * Dinner on late nights — Working late? Dinner is on us. * Fitness stipend — Monthly support for your health and wellness. * Tools of the trade — Any equipment you need to do your best work. * Commute perks — Citi Bike + train benefits. Interview Process * Application Review – Send us your stuff, and a quick note on why you're excited. * Intro Chat : Share what you're looking for next and learn more about what we're building. * Founder Interview: Talk with one of our founders in more detail about the role * Technical Interview: We'll have you complete a short exercise specific to the role. * Onsite: Come onsite and meet the team through a series of 1:1 interviews. * Decision – We'll move fast.

Title: Full Stack Engineer Location: New York, NY Reporting Structure: This role reports to the CTO. Company Description Level is a fast-growing startup rethinking how back-office work gets done in financial services. Their first product helps automotive lenders resolve insurance claims more effectively, delivering better outcomes for both lenders and consumers through automation and AI. Small improvements can unlock significant value for their customers. Along the way, they've helped consumers avoid millions in debt. Their work spans a wide range of engineering challenges - from building core application features and integrations, to designing reliable infrastructure, to creating AI/LLM-driven workflows that automate complex processes. They're an early stage venture-backed startup and scaling quickly. They describe themselves as scrappy, intentional, and focused on solving real problems for their customers. They bias toward shipping, learning fast, and building solutions that work in the real world. Quick facts: • HQ in NYC with a distributed team, • Backed by leading investors including 81 Collection, Better Tomorrow Ventures and Capital One Ventures. The Role We're looking for a Full Stack Engineer to join our team. You'll work across the stack, own projects end-to-end, and make foundational technical decisions that will shape our product and culture for years to come. Some of your work will involve AI/LLM-based systems, but just as much will involve building the surrounding product and infrastructure that makes those systems valuable to our customers. If you enjoy tackling different kinds of problems, moving quickly, and taking ownership, this role is for you. What You'll Do • Build features across the stack based on your strengths and the business's highest priorities: backend services, frontend interfaces, integrations, agents and infrastructure., • Design and implement AI/LLM-driven workflows as part of our automation platform., • Translate ambiguous requirements into clear, functioning software., • Balance speed with technical rigor, knowing when to optimize for learning and when to invest in durability., • Help define and evolve our engineering practices and technical culture., • Collaborate closely with the founding team and customers to shape product direction. Is this you?, • 3+ years of software engineering experience, ideally with exposure to fast-moving or startup environments., • Strong technical depth: you can design systems, not just implement them., • A generalist mindset, with the ability and confidence to work across multiple parts of the stack., • Pragmatism: you can ship quickly without sacrificing critical quality., • Excellent communication skills, with the ability to articulate technical tradeoffs clearly., • Comfort with ambiguity, and a bias toward ownership and action. Bonus, • Experience working with LLMs or building AI-driven applications., • Background in fintech, insurance, or workflow-heavy enterprise products., • Prior experience as an early-stage engineer or founder, • Contributions to open-source or research projects. Tech Stack, • Cloud & Infrastructure AWS, • AWS Lambda, • Amazon ECS, • Backend, • Python, • FastAPI, • Databases & Storage, • Amazon DynamoDB, • PostgreSQL, • S3, • Frontend, • React/Nextjs, • Typescript #Perks, • Competitive salary and meaningful equity., • Health, dental, and vision insurance., • Unlimited PTO and flexible hours., • New equipment to support your best work., • Regular off-sites and team travel budget to get together in person, • The opportunity to play a foundational role in shaping both the product and the company.

Distinguished Software Engineer - IFX As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the Team: The Capital One machine learning platform foundation organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. What you'll do: * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications * Bachelor's Degree * At least 7 years of experience in software engineering * At least 7 years of experience designing distributed systems, backend architecture, and API platforms * At least 5 years of experience with public cloud technologies Preferred Qualifications: * A Master's Degree in Computer Science or a Master's Degree in Software Engineering * 3+ years of experience building platforms that support LLM training, fine-tuning, or high-throughput inference * 3+ years of experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies * 3+ years of experience with building platforms at scale and experience with distributed computing frameworks such as Spark and Ray Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Engineer New York, NY: $293,600 - $335,100 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Engineer San Jose, CA: $293,600 - $335,100 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

SynergisticIT Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why Partner with SynergisticIT? • Customized inputs to achieve the desired output: designed with industry needs in mind, ensuring you're equipped with the most sought-after skills., • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms. SynergisticIT is committed to supporting your journey! Preferred SKILLS For Java/Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support. All positions are open to candidates of all visa types and US citizens. Are you ready to make an impact?

\ #WeAreParamount on a mission to unleash the power of content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Role Overview As the Senior Director, Finance Product Lead, you will be the primary architect of the next generation of financial intelligence. Reporting to the SVP of ERP, you will occupy a unique "Translator-in-Chief" role-bridging the gap between the Office of the CFO and technical engineering teams. Your mission is to transform our ERP from a static system of record into a dynamic engine of insight. You will lead the development of a comprehensive Finance Data Mart and serve as the Product Owner for a high-profile AI Analyst Bot. This role requires a rare blend of deep financial literacy, product management rigor, and the ability to steer elite engineering teams (both internal and external partners like Google) to deliver bleeding-edge variance analysis tools. In this role, you aren't just managing software; you are redefining the role of the modern Finance professional. By automating the "what" and the "why" of financial variances through AI, you allow the CFO and FP&A teams to focus entirely on the "what next". Key Responsibilities 1. Finance Data Mart & KPI Strategy • Unified Data Architecture: Lead the strategy and roadmap for a centralized Finance Data Mart. You will ensure that data flowing out of the ERP is structured, governed, and ready for high-level consumption., • KPI Standardization: Collaborate with the Head of FP&A and Finance leads globally to define and automate the ingestion of core KPIs, ensuring a "Single Source of Truth" for all corporate reporting., • System Optimization: Work within the ERP organization to ensure upstream data entry and system configurations support downstream analytical needs. 2. AI Innovation & Partner Integration • Next-Gen Chatbot Development: Partner closely with Google Engineering and internal software teams to build a generative AI bot. This tool will allow executives to query financial data using natural language (e.g., "Why did OpEx spike in EMEA last quarter?")., • Automated Variance Analysis: Direct engineers in building ML models and LLM prompts that can automatically scan datasets, identify drivers of budget vs. actual (BvA) variances, and provide concise executive summaries., • Product Management: Define the user stories, technical specs, and success metrics for the AI roadmap, ensuring the "Analyst Bot" delivers high-accuracy, audit-ready insights. 3. Engineering & Stakeholder Leadership • Technical Liaison: Sit at the center of a "triad" consisting of the CFO, Internal Engineering, and External Tech Partners. You must be able to explain depreciation logic to a coder and API latency to a controller., • Experience 12+ years in Finance Systems, Product Management, or ERP Leadership; 5+ years managing high-performing teams., • Fluency Strong understanding of Big Data environments (BigQuery/Snowflake), AI/ML integration, and Cloud ERP architecture., • Expertise Mastery of FP&A workflows, variance analysis, and corporate accounting structures., • Collaborating Proven track record of working with "Big Tech" partners (e.g., Google, Microsoft, AWS) on co-engineered solutions and internal engineering squads., • Influence Ability to manage by influence across a matrixed organization of finance professionals and software engineers . #LI-TE1 Paramount Skydance Corporation (NASDAQ: PSKY) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, and Pluto TV, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions. ADDITIONAL INFORMATION Hiring Salary Range: $203,000.00 - 255,000.00. The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: • Generous paid time off., • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams., • Opportunities for both on-site and virtual engagement events., • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to . Only messages left for this purpose will be returned. Nearest Major Market: Manhattan Nearest Secondary Market: New York City

About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role: As Head of Partner Success at Parloa, you own the quality, scalability, and operational success of partner-delivered implementations. Your mission is to build and lead a high-performing Partner Success organization that ensures every partner-led deployment meets the same quality, reliability, and customer impact standards as Parloa-led projects. You define how Parloa scales delivery through partners without compromising technical excellence or customer outcomes. This means establishing the operating model for partner implementation oversight, building strong enablement and governance frameworks, and ensuring that partners consistently deliver high-quality AI solutions on the Parloa platform. Partner Success is the bridge between Partnerships, Professional Services, and Product. As Head of Partner Success, you ensure that partner scale strengthens the Parloa ecosystem. Areas of ownership: • Build the Global Partner Success Operating Model: Design and scale the Partner Success organization across regions, including TPM, Agent Architect, and Forward Deployed Engineer roles embedded within the partnership motion. Establish clear governance models, engagement rules, and escalation frameworks that ensure partner-delivered implementations meet Parloa's quality bar., • Ensure Quality and Predictability in Partner-Led Delivery: Own delivery health across all partner-executed projects. Implement quality gates, readiness assessments, and technical architecture reviews to ensure partners deploy the Parloa platform correctly and consistently. Ensure go-live readiness and production stability across all partner implementations., • Build and Develop a High-Performance Organization: Hire, coach, and develop the Partner Success team across regions. Build leadership capacity and clear growth paths for TPMs, Agent Architects, and FDEs. Establish strong accountability frameworks while maintaining a culture focused on technical excellence, collaboration, and partner enablement., • Drive Partner Enablement and Capability Development: Work with cross-functional teams to create structured enablement programs that accelerate partner readiness and technical capability. Ensure programs emphasize best practices for agent design, platform integrations, and project delivery methodologies. Track partner capability maturity and ensure partners are prepared to lead implementations independently over time., • Ensure Technical and Implementation Standard Compliance for Partners: Ensure consistency across partner-built solutions and reduce implementation variability across the ecosystem., • Strengthen Partner and Executive Relationships:Serve as the executive technical counterpart to strategic implementation partners. Build trust with partner leadership and ensure strong alignment between Parloa delivery standards and partner implementation practices., • Create Scalable Feedback Loops Between Partners and Product: Translate field insights from partner implementations into structured product feedback. Identify recurring implementation patterns and advocate for product improvements that reduce complexity and increase partner self-sufficiency., • Experience level: 10 to 15+ years in enterprise SaaS, AI platforms, professional services, or partner delivery roles with meaningful production responsibility., • People leadership: 5+ years leading technical delivery, professional services, or partner success organizations, ideally leaders-of-leaders. Proven experience building high-performing teams and scaling operational capacity across regions., • Organizational leadership: Experience designing and scaling partner delivery models or ecosystem support functions. Ability to build processes, frameworks, and governance structures that enable partners to deliver at enterprise scale., • Partner Ecosystem Experience: Deep experience working with system integrators, implementation partners, or consulting firms. Strong understanding of partner enablement, certification programs, and partner performance management., • Enterprise Delivery Track Record: Demonstrated success overseeing complex enterprise deployments involving multiple stakeholders and delivery teams. Experience managing both direct and partner-led implementation programs., • Technical Breadth and Platform Understanding: Strong understanding of enterprise software architectures, integrations, and cloud-based platforms. Ability to engage credibly with technical teams on AI systems, integrations, and enterprise platform deployments., • Strategic product thinking: Ability to identify patterns across partner implementations and translate them into product improvements or platform capabilities. Strong intuition for what should be standardized versus left flexible for partners., • Operational excellence: Strong planning, prioritization, and risk management capabilities. Ability to build scalable processes that maintain quality without introducing unnecessary operational overhead., • Executive presence: Confident communicator with the ability to engage partner executives, technical leaders, and internal stakeholders. Comfortable representing Parloa in executive discussions around delivery, partner performance, and ecosystem strategy., • Strong plus: AI / LLM-based systems and conversational AI platforms, Telephony and contact center infrastructure (PSTN, SIP), Partner-driven enterprise software ecosystems, Scaling global system integrator relationships Our recruiting process: TA Screen → Hiring Manager Call → Technical Interview(s) → Bar Raiser Comp Range Includes OTE Why Parloa? We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale-and want your work to matter in real, everyday moments-this is where you do it. At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Salary Range $240,000-$274,000 USD Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. • We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Software Engineer II You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Commercial and Investment Bank - Growth Markets, Instant Payments team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. This agile group is responsible for building the payment execution engine for real time payments, and this is one of the most complex and modern applications in the Commercial and Investment Bank, making heavy use of microservices, Kafka, Gemfire, and cloud services. The client base is extensive, including tech giants such as Amazon, PayPal, and eBay and being part of this project offers a unique opportunity to gain exposure to large-scale systems, cutting-edge technologies, and the payments ecosystem. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job Responsibilities • Execute standard software solutions, design, development, and technical troubleshooting for the Payment Processing Platform, • Writes secure and high-quality code using the syntax of at least one programming language like Java or Springboot, and data formats like JSON and Protobuf with limited guidance, • Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications, including distributed caching, Kafka, Oracle, and Gemfire., • Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation., • Apply technical troubleshooting to break down solutions and solve technical problems of basic complexity., • Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development., • Contribute to ongoing efforts to enhance the platform's capabilities and extend the engine to process high volumes from new and emerging markets., • Build AI use cases in the payment domain., • Deploy applications to internal Gaia cloud and AWS., • End-to-end ownership of building and testing features and ensuring delivery to production, • Formal training or certification on software engineering concepts and 2+ years of applied experience, • 2+ years of hands-on practical experience in system design, application development, testing, and operational stability in large-scale, distributed systems, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java, Python) and database querying languages, • Experience with distributed caching, Kafka, Gemfire, and cloud services, • Experience with performance testing and monitoring tools like Grafana, Datadog, • Experience across the whole Software Development Life Cycle, • Exposure to agile methodologies, CI/CD, Application Resiliency, and Security, • Experience working with large client bases and high-volume transaction processing, • Experience in building Agentic AI application with LLM capabilities and various LLM models, • Experience with Vector storage like FAISS and vector DB This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Lead Software Engineer We are hiring a Lead Software Engineer to build the AI-powered marketing content layer - the systems that generate, assemble, review and publish marketing content across email, mobile app, site placement and push notifications. You will work on LLM-integrated content generation pipelines, channel-specific content builds, and AI-assisted compliance workflows that ensure every piece of marketing content meets regulatory standards before it reaches customers. Who We Are: Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What You'll Do: * Build software solutions to iterate on AI content generation services - integration of LLM's into content authoring workflows with prompt management, output validation and Human-In-The Loop review. * Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications, with responsive rendering and preview capabilities. * Implement AI-assisted compliance review workflows - build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval. * Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch. * Build evaluation and observability tooling for LLM outputs - golden dataset benchmarks, A/B content quality metrics and drift detection. * Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels. * Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline. * Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment * Define guardrail frameworks for LLM outputs - toxicity filters, brand voice enforcement, compliance boundary checks - and establish operational runbooks. * Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: * Bachelor's Degree * At least 4 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 5+ years of experience with Python * 3+ years of experience in at least one of the following: Java, Go, TypeScript/JavaScript or Node.js * 3+ years of experience with AWS, GCP, Azure, or another cloud service * 1+ years of experience in at least one of the following: LLM integration, model API, prompt engineering or AI-augmented feature generation. * 1+ years of experience in at least one of the following: Marketing Technology, ESP's, campaign management, content personalization or digital marketing platforms. * 1+ years of experience in at least one of the following: MJML or Apache Volocity At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer Richmond, VA: $179,400 - $204,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Introducing Kepler The Problem High-stakes industries are falling behind on AI adoption. Their workflows can't afford wrong answers. And AI can't be trusted to give right ones because of hallucinations. The barrier isn't that the models aren't smart enough. It's that no one can verify what they produce. The fix isn't a better model, it's a trust layer: every output traceable, every calculation auditable, every answer reproducible. What Kepler Is Kepler is the agent harness - the infrastructure layer that wraps around AI models to make their outputs reliable, traceable, and verifiable. The model is a replaceable component. The harness is the product. In Kepler's architecture, the LLM orchestrates - it decides what data to gather, what to compute, how to structure the output. But every actual data point, every extracted value, every calculation flows through deterministic code pipelines. The LLM never touches the data itself. Every value carries provenance metadata back to its exact source. Every computation is auditable and reproducible. Verification loops cross-check outputs before users ever see them. We started in finance because the stakes are highest and the tolerance for error is zero. We've built a finance research product that lets analysts supercharge their workflow: pulling comparables, building models and researching filings. No more double-checking every number AI spits out. Every number tracing back to the source, every time. But the architecture - provenance, deterministic computation, verification - applies anywhere trust in AI output matters: chemicals, legal, healthcare. Models are commoditizing fast. The trust layer is what's missing and the market is massive. The Team The founding team spent a combined 40+ years at Palantir building the type of large-scale data infrastructure that Kepler requires. Our CTO created Palantir's first AI platform and built the analytics engine behind $100M+ contracts. Our founding engineers led Foundry's core systems - Ontology, Fusion, Workshop, FoundryML - and scaled data products at Meta to 1B+ users. We've paired this deep technical foundation with a repeat founder profile. Our CEO built and scaled a data company to $15M ARR before successfully selling it. He then became Citadel's first Head of Business Engineering, experiencing first hand the problems we are now solving. We have a team who've been on both sides: building systems like this at massive scale and selling it into the buyers who need it most. We're backed by investors who built the modern AI and data stacks, plus the builders of iconic commercial businesses. This includes founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs and Square as well as PebbleBed, Company Ventures and Mantis VC firms. Full Stack Engineer What You'll Own You'll build core systems that power Kepler's AI research platform. You'll work across the stack: backend services that orchestrate AI workflows, data pipelines that process billions of data points, and the infrastructure that financial professionals rely on for million-dollar decisions. This role is for engineers who want to build foundational technology at the intersection of AI and finance, where your code directly impacts how clients make critical business decisions. In the first few weeks you might: • Ship the UI for a source explorer that lets users trace any value back to its exact origin in the original document, • Build a new extraction pipeline for a data source we don't yet handle - with full provenance tagging and verification integrated from day one, • Redesign how our agent orchestrator handles failures and retries so that a bad extraction from one source doesn't block the rest of a parallel workflow, • Add verification rules that cross-check extracted values across multiple sources and surface conflicts with full provenance on both sides In the longer term, you'll be given ownership of whole functional areas, from extending our platform to a new industry to leading new architecture as our infrastructure scales. You'll consistently own features end-to-end. In a small team, there's nobody to hand things off to. How We Work We're a close team, working together in an office in New York. We use AI tools heavily - Cursor, Claude Code, whatever makes us faster. Fluency is assumed. Our users are analysts at firms where a wrong number costs real money. The feedback loop on what you ship is hours, not quarters. The pace is startup-fast but the engineering bar is high. We care about getting things right, not just getting things out. If you've worked somewhere that moves fast but ships broken software, this is different. If you've worked somewhere that's rigorous but slow, this is also different. The team has strong backgrounds and low ego. We expect everyone to roll up their sleeves and handle the unglamorous problems: the weird regressions, the subtle bugs, the last minute debugging session before a demo. We move as a team, not as a collection of individuals. Who You Are You've shipped production systems and you care about whether they're correct - not just whether they work on the happy path. You think about failure modes before someone asks you to. You're comfortable in a codebase you didn't write, moving between backend services and frontend components in the same day. You're drawn to early-stage not for the title but because you want your work visible in the product, not abstracted behind three layers of management. From the technical side: • 3-5 years building production software., • Strong in TypeScript/React. Comfortable in backend work - our backend is Rust, but we don't require Rust experience. We believe strong engineering fundamentals and experience in other languages is what matters., • You've built systems where correctness matters - payments, data infrastructure, healthcare, anything where a wrong output has consequences., • You understand distributed systems basics: concurrency, fault tolerance, retries, idempotency., • You're a quick learner and are as comfortable in a codebase you wrote as one you're reading for the first time. From the personal side:, • You care what the analyst does with what you shipped, not whether the code was clever., • You'd rather fix something than file a ticket about it., • You'll tell someone their design has a flaw before the PR goes in, not after., • You communicate before it's a problem, and when a teammate needs something from you, they don't have to ask twice., • You know what it feels like when the plan changes twice in a day and the work still has to ship. Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure. Our Technical Stack • Backend: Rust - agent orchestration, data extraction, computation pipelines., • Frontend: TypeScript, React - the analyst workspace and verification interfaces., • Data: PostgreSQL, plus direct integrations with official data sources., • Infra: AWS., • AI: Model-agnostic by design. We currently use Claude and GPT. The model is the replaceable part. Mentorship & Growth Direct mentorship from engineers who built Palantir's core systems: • Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems, • Deep architectural reviews and guidance on system design, • Clear growth path toward technical leadership and system ownership, • Comprehensive medical, dental, vision, 401k, insurance for employees and dependents., • Automatic coverage for basic life, AD&D, and disability insurance., • Daily lunch in office., • Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need., • Unlimited PTO policy., • "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked., • Learning budget - attend any conference, course, or program that makes you better at what we're building. Our Operating Principles, • Trust as the Default: People do their best work when confidence is mutual. We show our work, keep our promises, and flag risks before they bite. Trust isn't an aspiration - it's the baseline., • Forward-Deployed with Product DNA: We own customer outcomes while building a product company. We don't win if they don't win., • Extreme Ownership: If you notice a problem, you own it by by making sure it doesn't fall through the cracks. Authority comes from initiative, not job titles. Once you step up, you're accountable for the outcome., • Production-First Engineering: We design for critical workloads from day one. Durable execution, blue/green deploys, automated rollbacks, continuous delivery with end-to-end observability., • Communicate with Intent: Great work disappears without great communication. We push information to the people who need it, when they need it. Silence is never the safe choice., • Earn it Every Day: Your work speaks for itself. We create an environment where the best idea wins, the strongest work gets recognized, and everyone is held to the same high standard., • Keep Raising the Bar: Great teams compound. Every hire raises the bar, every win gets named, every person gets the tools and runway to grow. Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Position Information Hiring Manager: Associate Director Department: Technology Solutions Department Overview The Technology Solutions ("TS") Department is responsible for designing and delivering state of the art technology solutions that are designed to create efficiency, mitigate risk and grow revenue for the Firm. Technology Solutions is also responsible for defining, managing and executing a robust Cyber Security program following the NIST Cyber Security Framework. Technology Solutions focuses on technical excellence through innovative application designs, robust data integration and analytics, high availability infrastructure and gold level service for our key stakeholders with information security embedded throughout. Critical functions within Technology Solutions include Project Management, Vendor Management, Business Analysis, Enterprise Data Governance and Stewardship, Application Development and 3rd Party Integration, Strategic and Secure Infrastructure and Operations. The Technology Solutions Department collaborates closely with Firm leadership and business unit heads to develop plans in line with business objectives. Position Responsibilities TS is seeking a highly motivated AI Solutions Analyst within the Modern Workplace Team to help advance the Firm's AI strategy. This role works closely with business and technology stakeholders to identify, shape and evaluate opportunities where AI can deliver meaningful business value. The AI Solutions Analyst conducts domain analysis, develops rapid proofs of concept, and supports AI initiatives and product evaluations aligned with long-term objectives. A critical aspect of this role is the ability to deeply understand business challenges and rethink functions with AI at the center. The successful candidate brings prior experience delivering AI-enabled solutions and a strong foundational understanding of modern AI systems, patterns and constraints to ensure proposed solutions are technically feasible. They are able to clearly convey how redesigned workflows will operate in practice, using proofs of concept, conceptual models or executive-level artifacts, to guide business partners toward AI-first approaches that effectively address their underlying goals. Ideal candidates will have prior experience in consulting, advisory, or internal transformation roles where they partnered with business leaders to deliver AI-enabled solutions. Responsibilities include: • Business Analysis & Solution Reimagination, • Serving as the primary Solutions Analyst for AI initiatives, working closely with business stakeholders to deeply understand their processes, challenges and objectives, • Assessing whether AI is an appropriate solution for a given business problem and identifying where it can deliver measurable business value, • Re-imagining business processes with AI-first approaches, including defining how processes must evolve with AI, automation or agent-based patterns are introduced, • Translating business needs into practical, actionable solution concepts grounded in modern AI capabilities and technical feasibility, • Defining solution requirements, assumptions and success criteria through user stories, processing mapping and stakeholder collaboration with a focus on enabling downstream delivery, • Proof of Concept & Evaluation, • Rapidly developing and iterating on proofs of concept using tools such as Copilot Studio, Power Automate and AI Foundry to validate solution viability and business impact, • Evaluating alternative solution approaches and communicating tradeoffs, feasibility and recommendations to stakeholders, • Presenting findings and recommendations to stakeholders and collaborating with business users to secure sign-off, • Project Coordination & Delivery, • Acting as the liaison between business stakeholders, the Modern Workplace Team and other cross-functional partners to ensure seamless project execution, • Conveying solution intent, requirements, facilitating knowledge transfer and supporting the team throughout the build process, • Leading user acceptance testing, coordinating solution launch activities and partnering with Change Management to drive training and adoption, • Monitoring project progress, resolving issues and ensuring that solutions meet agreed-upon business outcomes, • Utilizing Azure DevOps for tracking, prioritization and transparency, • Stakeholder Engagement & Communication, • Communicating complex AI concepts, solution designs and workflow changes clearly to both technical and non-technical audiences at all levels, • Staying current on emerging AI trends and best practices Candidate Requirements Qualifications & Experience: • Bachelor's degree in computer science, business or related field is required, • 7+ years of experience shaping and delivering technology-enabled solutions for complex business problems, ideally within Financial Services or consulting within the financial sector, • Demonstrated ability to apply AI concepts and patterns to real-world business challenges, with sufficient technical depth to assess feasibility, tradeoffs and determine appropriate solution approaches including:, • GenAI Solutions: Experience with LLM-enabled applications (copilots, summarization, drafting and Q&A), • Automation & Integration: Workflow orchestration, API calls, human-in-the-loop approvals and content safety guardrails, • Evaluation & Guardrails: Prompt testing, safe completions, role based access and data minimization, • Model Adaptation: Ability to guide or collaborate on model adaptation approaches (e.g., fine tuning, or prompt-based techniques) for domain-specific terminology and workflows, in partnership with development teams, • Agentic patterns & assistants: Understands that many AI solutions require composing multiple patterns (planning, tool use, reflection/verification and multi-agent orchestration) to achieve reliable outcomes. Can assess which pattern(s) fit a given business problem, define the operating model for the workflow (what AI does vs. what stays human-led) and communicate the design clearly enough for business alignment and developer implementation, • Prompt engineering & evaluation: Skilled at task framing, constraints, role instructions and iterative testing to drive reliable outputs, • RAG & enterprise grounding: Understanding when and how to ground LLMs in firm content (indexing / metadata strategy and retrieval quality) to improve accuracy and reduce risk, • PoC tooling literacy (not full build): Comfortable building proofs of concept that convey approach to business partners and tech frameworks to the development teams using tools such as Copilot Studio, Power Automate and AI Foundry, • Proven experience delivering end-to-end projects at enterprise-scale across multiple stakeholder groups driving measurable business outcomes, • Excellent interpersonal skills, with a view toward building and maintaining positive relationships between colleagues across technology and business teams, • An expert understanding of the software development lifecycle, while working with hybrid teams including staff and third-party vendors, • Ability to translate complex business needs into clear, actionable requirements, user stories and use cases to support effective solution design and implementation., • Proactive self-starter with a positive can-do and "no job too small" attitude, • Motivated by a fast paced, growing and complex environment, • Enthusiastic about working in office and creating a Gold Standard hybrid work culture Critical Competencies for Success Our Gold Standards Model defines key behaviors and competencies across 4 dimensions: Leadership, Achieving Results, Personal Effectiveness and Thinking Critically. These behaviors and competencies drive our ability to win together. • Leadership: Role models in this area consistently focus on the right goals and priorities and continually develop themselves and others. Always team players, they influence and engage with others to contribute to a supportive and inclusive culture where all feel welcome., • Achieving Results: Role models in this area are high achievers who develop careful plans and deliver consistently and effectively. They hold themselves and others accountable for delivering high quality results, and they remove barriers to ensure others can contribute and grow., • Personal Effectiveness: Role models in this area build strong relationships, treat others with respect and communicate effectively. They are driven to exceed expectations and are adaptable to changing circumstances., • Thinking Critically: Role models in this area understand our business, rely on analytical reasoning and seek diverse perspectives to solve problems. They are forward thinking, anticipating issues and addressing them in advance. The department-specific competencies define the knowledge, skills and abilities that are needed to successfully perform the functional or technical work of this role., • Technical Support: Triages, troubleshoots and resolves technical support issues. Escalates issues as needed., • Software Development Principals: Utilizes software development, secure programming principles and a knowledge of programming languages to develop, configure and / or integrate new software and applications., • Business Needs Assessment: Identifies business needs across departments within the Firm to understand the challenges, goals and problems that the business needs to solve and identifies appropriate technical solutions., • Data Management and Information Security: Manipulates, restructures and / or queries data for various purposes, including reconciling issues in the database, designing database structures and / or generating reports. Adheres to governance principles and maintains data integrity and security., • Risk Management: Identifies, forecasts and articulates ways to pursue and manage informed risks in ambiguous, complex or uncertain situations based on sound value propositions and an analysis of potential rewards and costs., • Testing: Evaluates the functionality of an application, system or solution to ensure that requirements have been met and defects have been identified. Applies an understanding of end user requirements and usage in the end-to-end system to produce a quality product., • Industry Knowledge: Demonstrates an understanding of the Firm's position in the industry, including its complex structure and competitive advantage in the marketplace. Monitors industry trends and changes and recognizes their relevancy and implications., • Technical Communication and Documentation: Documents and communicates technical processes and procedures in area of specialty to stakeholders. Adapts the level of detail and specificity based on the needs of the intended audience., • Vendor Management: Manages and coordinates with external vendors. Researches and identifies new vendors as needed and monitors performance., • Relationship Management: Builds and maintains effective partnerships with internal clients and end users by advising on their needs and options, advocating for their business within the Technology Solutions department and managing expectations appropriately., • Project / Program Management: Manages Technology Solutions project elements considering conflicting priorities, interdependencies, business objectives, communications and available resources., • Innovative Mindset: Leverages an agile and creative mindset to drive innovative value creation, continuous process improvement and proactive learning through new technology, processes and people. Compensation and Benefits For New York Only: It is expected that the base salary range for this position will be $95,000 to $150,000. Actual salaries may vary based on factors such as skills, experiences and qualifications for the role. The total compensation package for this position may also include other elements and discretionary awards in addition to a full range of medical, financial and / or other benefits (including 401(k) eligibility and various paid time off benefits such as vacation, sick time and parental leave) dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an 'at-will position' and the Firm reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance, Firm or individual department / team performance and market factors. Golub Capital is an Equal Opportunity Employer. Due to the highly regulated nature of Golub Capital's business and because of the sensitivity of the information that all personnel have access to, Golub Capital performs extensive and thorough pre-hire screens to ensure that its personnel act with expected levels of integrity, professionalism and personal responsibility. Please review Golub Capital's US Job Applicant privacy notice and, for California residents, the California Applicant privacy notice for information on how your personal data is collected, processed and stored.

Role Summary: Leads enterprise-wide AI strategy across banking and payments platforms, driving adoption of AI/ML solutions to enhance fraud detection, transaction intelligence, operational efficiency, and customer experience while ensuring regulatory compliance and business value. Generative AI (LLM

Principal Associate, Data Scientist - LLM Customization Team. Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. New York

We are an applied research team that is embedded directly in Microsoft AI's research org to work as closely as possible with researchers. Our newly formed parent organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. Starting January 26, 2026

A forward-thinking technology company is looking for a detail-oriented individual to design structured evaluation scenarios for AI agents.This entry-level part-time role allows you to contribute remotely, creating test cases for LLM-based agents.The ideal candidate will have a background in Computer

Partner closely with founders, engineering, and product to shape product direction from 0→1. Deep familiarity with AI-powered products and emerging interaction patterns for LLM-driven interfaces. Lead UX strategy and vision for an AI-first enterprise product.

We're looking for an analytical logophie who is passionate about writing and can work with a cross-functional team to develop high-quality content for LLMs. As a content designer working on an LLM, you'll work in an ambiguous, fast-paced, and very exciting area with a lot of passionate people.

Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.

Deep technical understanding of LLM safety, including adversarial attacks, red-teaming methodologies, and interpretability.

Ability to define and communicate a technical vision for AI-powered quality engineering. Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and inte

Job Title - Delivery Lead Location - Jersey City (3-4 days per week) Salary - Up to 150k Responsibilities: • Oversee and drive the delivery of end-to-end projects focused on analytical applications and Generative AI solutions. • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices. • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables. • Utilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions. • Manage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals. • Take ownership of release planning, change management, and stakeholder engagement to ensure project success. • Ensure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines. Technical Expertise: • Framework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration. • Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services. • Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation. • Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures. • Application Development: Expertise in developing event-driven and microservices based architectures using Java, Python, and modern frameworks. • CI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation. • Big Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing. • Security & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation. Must Have: • Proven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives. • Hands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event driven architectures and streaming data solutions. • Strong leadership experience in managing teams and delivering complex projects in Agile environments. • Proficiency in integrating Generative AI solutions into existing platforms and workflows. • Excellent communication and stakeholder management skills to collaborate across diverse teams.

NET modernization initiatives, including Proof of Concepts (POCs) using AI/LLM-assisted methodologies. NET, Mainframe systems, and LLM-assisted code transformation/modernization with strong analytical and problem-solving skills. NET, JAVA, Mainframe, Modernization.

Title: Software Development Engineer in Test (SDET) Local to NJ Description: This role is ideal for a seasoned professional who can blend strong automation expertise with DevOps infrastructure experience, while also leveraging the latest advancements in AI-driven test automation.You will play a key role in ensuring high-quality software delivery, driving testing strategies, and collaborating across engineering, product, and operations teams. Responsibility: • Design, develop, and maintain robust automation frameworks using Playwright, Selenium, BDD/Cucumber, and Java., • Implement API test automation with Karate and ensure seamless test coverage across services., • Explore and apply LLM models, Prompt Engineering, and AI-assisted tools (e.g., Copilot) to accelerate test automation., • Collaborate closely with DevOps and infrastructure teams on virtualization, containerization, and cloud-based environments., • Integrate automation solutions into CI/CD pipelines for efficient, reliable test execution., • Manage version control and collaboration workflows using GitHub., • Drive testing strategies in Agile environments, ensuring effective sprint delivery and continuous improvement., • Act as a project driver-communicating effectively with stakeholders, presenting results, and ensuring alignment across teams., • Work across multiple parallel projects in a dynamic, fast-paced environment while maintaining quality standards. Required Skills & Experience:, • 8+ years of experience in test automation and software development in test., • Strong expertise in Playwright, Selenium, Cucumber/BDD, and Java., • Proven API automation experience using Karate., • Hands-on experience with LLM models, prompt engineering, and AI-assisted automation tools., • Solid background in DevOps infrastructure (virtualization, containerization, cloud)., • Experience with CI/CD pipeline integration and modern DevOps practices., • Proficiency in GitHub for version control and collaboration., • Strong knowledge of Agile methodologies and ability to influence Agile ceremonies., • Excellent communication, stakeholder management, and presentation skills., • Ability to lead initiatives, drive results, and manage priorities in a dynamic environment.

Equity Research Technology Developer The Equity Research Technology team at Balyasny is responsible for building and supporting a world-class suite of tools for our portfolio managers and their teams. We are looking for an experienced and eager developer to join our team in supporting this mandate. This growing suite of tools spans across the areas of Research Management, Idea Generation, Professional Development, Broker Relations and Portfolio Construction & Analytics. Role Overview: • Work closely with the portfolio manager development team to architect and build cutting edge front office applications., • Collaborate in a fast-paced team environment to understand, engineer, and deliver on business requirements., • Strike a balance along the dimensions of feasibility, stability, scalability, and time-to-market when delivering solutions., • Work on equity research generation, fundamental modeling and analytics applications. Qualifications & Requirements: • 8-10+ years of work experience as a full stack Developer (C#, Python, .NET, APIs)., • Understanding of React.js and its core principles., • Experience building user facing web applications., • General experience architecting and building backend applications beginning from the design phase through implementation., • Experience with code optimization and performance tuning., • Strong knowledge of MSSQL. Specifically query building, table design and performance tuning., • Understanding of the full scope of application development (authentication, integrating with APIs, build process, testing, validation, state management)., • Experience with source code control (Git experience preferred)., • Excellent communication skills., • Self-starter with strong analytical skills to troubleshoot and work independently. Additional experience in the following areas is a plus: • Experience building Restful APIs., • Familiarity and interest in latest LLM technologies and libraries (OpenAI API, Langchain, Llama)., • Experience with MongoDB or other non-relational database technologies., • Experience working in Agile Development / SCRUM Methodologies., • Experience working with financial market data from Bloomberg, Reuters or other similar sources., • Experience with hedge fund industry or other financial instruments/software (research, risk management, portfolio accounting, reconciliation, order management, etc.).

The mission () of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform. This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times. This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week. Responsibilities: * Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business. * Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance. * Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences. * Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models. * Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic. * Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls. * Architect and implement data pipelines and storage solutions to support our AI systems. * Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go. * Ensure a high degree of code quality, security, and system observability. * Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities. * Review code written by other software engineers on the team and provide feedback. * Contribute to and advocate for robust testing strategies to ensure service reliability. * Be a mentor to other software engineers to enable their growth. * Demonstrate support and understanding of our value of journalistic independence () and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: * 5+ years of software engineering experience, with a strong focus on backend development. * 5+ years of experience in one or more backend programming languages such as Python or Go. * 5+ years of experience designing, building, and operating distributed systems and APIs at scale. * 1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation). Preferred Qualifications: * Experience with MLOps, including building systems for model and prompt evaluation, tracing, and monitoring. * Experience with vector databases and embedding models or services. * Experience with information retrieval or search systems. * Experience building RAG systems or agentic AI workflows. * Experience with prompt engineering and prompt management systems. * Familiarity with containerization and orchestration technologies like Docker and Kubernetes. * Experience with infrastructure as code (e.g., Terraform, CloudFormation). * Deep experience with cloud computing platforms like GCP or AWS and their associated services (e.g., Cloud Functions, S3, RDS). * Experience with event-driven architectures and technologies such as Kafka or Pub/Sub. * Familiarity with LLM orchestration and agentic frameworks. * Experience with GraphQL. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. #LI-Hybrid REQ-019837 The annual base pay range for this role is between: $140,000 — $160,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here () . The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here () . Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site () . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the Federal Trade Commission () or your state attorney general () .

Healthcare AI Agent Development Role Design and deliver production-grade AI agents for healthcare. You'll build and ship highly performant, reliable, and empathetic AI agents that handle sensitive patient and member interactions. These agents help people understand their coverage, find providers, schedule appointments, navigate billing, and more—all while maintaining strict HIPAA compliance and the trust that healthcare demands. Drive the Agent Development Life Cycle (ADLC). You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments serving healthcare payers, providers, and platforms. Partner with healthcare leaders. You'll work directly with executives and technical teams at health plans, provider networks, and healthcare technology companies to understand their most pressing challenges - from managing high call volumes to reducing administrative burden and building AI agents that transform how they operate at scale. Navigate healthcare complexity. You'll develop deep expertise in healthcare systems and workflows, including integrations across EHR and patient access platforms, payer and provider operations, and common healthcare data and interoperability standards. You'll become fluent in the nuances of benefits and eligibility, claims and billing, scheduling and intake, and translate that understanding into exceptional, trustworthy AI experiences. Build the future of the platform. Your direct work with healthcare customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development in healthcare. Example projects include building AI agents for major health insurance networks that handle detailed questions such as, "What's my co-pay for a primary care visit?" and "How many physical therapy sessions do I have left?" Developing voice and chat agents for healthcare providers that help members find in-network specialists, check availability, and locate providers based on specialty or location; creating AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics; building agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates; developing AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility - all while maintaining HIPAA compliance and strong PHI/data privacy safeguards; and experimenting with the latest voice models and integrating them at scale for healthcare enterprises requiring secure, compliant phone interactions. You'll bring experience building and scaling end-to-end production systems, strong technical problem-solving skills, especially in fast-changing, ambiguous environments, a builder and tinkerer's mindset with high agency, comfort working directly with customers to understand their needs and solve real-world problems, excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences, and genuine interest in healthcare and improving patient/member experiences. Even better if you have experience in healthcare technology, health IT or working with healthcare organizations, familiarity with healthcare systems, understanding of healthcare compliance requirements, experience building or deploying AI/LLM systems in production, have been a founder or founding engineer, familiarity with tools that power today's AI agents, prior experience with React, TypeScript, and/or Go, and previous roles where you interfaced with customers or led technical projects with external stakeholders. Our values include trust, customer obsession, craftsmanship, intensity, and family. We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer includes flexible (unlimited) paid time off, medical, dental, and vision benefits for you and your family, life insurance and disability benefits, retirement plan dependent on country of employment, parental leave, fertility and family building benefits through Carrot, lunch, as well as delicious snacks and coffee to keep you energized, discretionary benefit stipend giving people the ability to spend where it matters most, and free alphorn lessons. These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us. We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Software Engineer New York, New York, United States Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported. We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes. We are looking for talented individuals who are motivated by the opportunity to have an outsized impact on not just their company, but the healthcare industry at large. What You'll Do • Design, build, and scale software systems to support our rapidly growing product and customer base. This is a generalist role with opportunities to contribute on both the backend and frontend. Depending on the team, this role may focus more heavily on particular parts of the stack with the ability to specialize - let us know what excites you!, • Use AI and LLMs to accelerate your impact and power innovative product features., • Own projects end-to-end by collaborating closely with the Product, Design, and Client Solutions teams, including scoping, design, implementation, and rollout., • Work with fellow engineers to raise the bar on our internal Engineering systems and processes, including testing, deployment, observability, and agentic coding., • B.S. or higher in computer science or a relevant field, or equivalent industry experience, • 2+ years of professional software engineering experience, • Experience with modern programming languages, such as TypeScript, Python, Golang, etc., • Experience developing software for cloud environments, • Product-engineering mindset: able to balance technical quality with velocity and user value, • Inspired by our mission to improve healthcare through technology, • Experience with TypeScript, NodeJS, React, GraphQL, AWS, PostgreSQL, or Terraform, • Experience building software in the health-tech or healthcare space, • Experience at early stage software companies, • Leverages agentic coding tools to accelerate time-to-value, • 100% paid employee health benefit options (including medical, dental, and vision), • 401(k) with employer funded match, • Unlimited vacation, • Commuter benefits, • Paid parental leave, • Catered lunch on Fridays, • Wellness stipend Courier Health 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.