Holtzbrinck Publishing Group: Global media group publishing academic research, educational materials, and books.
Senior AI Engineer with full-stack capabilities; cloud-native AI products; deployment, monitoring, and optimization of AI models; strong software engineering; production systems; English communication.
PepsiCoNASDAQ: PEP: Global manufacturer and distributor of snacks and beverages.
8+ YOESenior AI Engineer with 8+ years in software lifecycle, ML/AI, and production-grade agent systems; strong Python/Java, distributed systems, and ML Ops experience.
Deduction: AI-powered consumer tax preparation and year-round financial advice.
Production AI experience, context engineering and AI orchestration expertise, production TypeScript (Node.js) experience, familiarity with observability, and experience building secure AI systems for regulated fintech.
Vendelux: Software for identifying and measuring high-ROI marketing events.
4+ YOE4+ years software/data engineering, 3+ years building AI/ML-driven products; Python and SQL; experience with AI frameworks and data pipelines; cloud infrastructure; production LLM/RAG; strong communication; startup experience preferred.
San Francisco or New York City or Vancouver or Amsterdam or London or Paris or Singapore or Tokyo
$190k-$316k/yrHybridFull Time
AmplitudeNASDAQ: AMPL: Digital analytics platform for understanding and optimizing customer behavior.
3+ YOE3+ years software engineering experience with 2+ years building production LLM or applied AI systems; experience designing and scaling AI products, strong product sense, and collaboration skills.
McLean or San Francisco or Cambridge or San Jose or New York
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's in CS/AI/EE/CE+6yrs or Master's+4yrs experience in AI/ML, 6+ years programming in Python/Go/Scala/Java, cloud AI deployment experience, leadership and systems engineering skills.
Ro: Provides online doctor visits and mail-order prescription medications.
5+ YOE5+ years building production software (1–2 years with LLM-powered apps), strong Python and backend experience, integrating AI APIs/frameworks, measuring reliability/latency/cost, product instincts, and ability to work with clinical operators.
San Jose or San Francisco or New York City or Cambridge or McLean
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor's plus 6 years or master's plus 4 years developing AI/ML technologies; 6 years programming in Python, Go, Scala, or Java. Cloud AI deployment and team leadership preferred.
GitGuardian: Provides automated secrets detection and non-human identity security solutions.
5+ YOE5+ years software engineering experience; hands-on LLM/AI feature productionization; strong Python and REST API skills; experience improving reliability, latency, and observability of AI systems.
CitiNYSE: C: Providing global banking, investment, and wealth management services.
3+ YOE3+ years AI/ML engineering (6+ years overall), proficiency in Python and backend development, experience with LLM/agent frameworks, API integration, distributed systems, and regulated environments.
NTT DATA: Global provider of IT and business consulting services.
10+ YOE10+ years in AI/ML, distributed systems, enterprise architecture or platform engineering; deep LLM, RAG, embeddings, model-serving and AWS experience; Terraform/IaC and DevOps pipeline expertise; ability to influence senior stakeholders.
American ExpressNYSE: AXP: Global financial services and credit card payment network.
5+ YOE5+ years software engineering experience with production LLM/ML systems, strong backend/API/cloud fundamentals, hands-on LLM tooling and RAG pipelines, AI-assisted workflows, and US work authorization required.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.