AI Engineer (Post-Training)
About The Position
About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Location: SF or Palo Alto Team: R&D – Agentic Systems & Tooling About the Role We are seeking experienced Backend/AI engineers to join our technical staff. As part of the R&D team, you’ll work across multiple high-impact projects that advance the frontier of AI training, evaluation, and enterprise applications. This is a chance to join a fast-moving team building production-grade systems that combine cutting-edge AI with real-world usability. What You’ll Work On You will not be hired for a single project — instead, you’ll contribute across a portfolio of exciting initiatives, including: Developing agents that generate synthetic data or review human-generated data. Building real-world reinforcement learning environments for model training and evaluation. Delivering end-to-end agentic solutions for enterprise customers. Developing internal tooling that enables humans and AI agents to collaborate at scale.
Requirements
- Experience: 4+ years as a backend engineer, with 2+ as an early engineer at a prominent AI product startup or equivalent environment.
- AI Engineering: Proficiency in modern GenAI and agentic technologies (langchain, RAG, etc).
- Portfolio: Demonstrated ability to build and ship real web applications. Must be able to showcase projects (e.g., personal site, GitHub, or screenshare).
Nice To Haves
- Experience with agentic systems, RL environments, or AI/ML infrastructure.
- Contributions to open-source projects or personal AI/ML tooling.
- Strong product sense and ability to translate abstract ideas into user-facing solutions.
Responsibilities
- Design and build end-to-end systems spanning both front-end and back-end components.
- Develop scalable infrastructure to support agentic workflows, data pipelines, and evaluation.
- Rapidly prototype, test, and ship features in collaboration with cross-functional teams.
- Own projects from design through deployment with a strong focus on reliability and usability.
Benefits
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
