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Forward Deployed AI Engineer (In Training)
Build and deploy production generative AI systems (multi-agent workflows, RAG, orchestration, APIs, data pipelines) for enterprise clients, starting with an 8-week Turing Akademia training placement before moving to live client projects. Full-stack engineers working in-office in NYC, owning client outcomes end to end.
Partner Manager, AI Ecosystem Partnerships
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement…
Head of Engineering, Enterprise AI
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement…
AI Engineer
At Momentic, an AI-native testing platform used by teams like Notion and Webflow, you'd work with the CTO to fine-tune models, build training/eval datasets from production data, and tune prompts and long-running agents for reliability, latency, and cost at scale.
Lead Data Scientist
Requirements: 7+ years building and deploying production AI/ML systems, with demonstrated emphasis on solving the underlying data problem, not just model selection or infrastructure. Deep experience working with…