Turing
Full TimeLead GenAI projects end-to-end for Fortune 500 clients, from proof of concept through full-scale deployment, while managing a team of engineers. You'll own client relationships, provide technical direction on multi-agent systems and RAG implementations, drive cross-functional alignment, and manage project timelines and delivery. This requires 10+ years of professional experience with at least 4+ years leading machine learning and AI projects, strong knowledge of GenAI frameworks like Langchain and Langgraph, and cloud services expertise. The role is based in San Francisco and pays $240,000–$260,000 annually.
Written from this posting by Neural Jobs AI. The full description is below.
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 learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization leading a GenAI project end-to-end from POC to full-scale implementation and you will be leading a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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Turing supplies the human expertise behind frontier model training, pairing AI labs with engineers and domain specialists for data, evaluation and reinforcement learning from human feedback.
It also runs its own applied AI engineering practice, deploying models inside client systems.
United States
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