AI Engineer (Post-Training)

Turing • Palo Alto, CA

27d • $180 - $250

About The Position

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

• 4+ years as a backend engineer, with 2+ as an early engineer at a prominent AI product startup or equivalent environment.
• Proficiency in modern GenAI and agentic technologies (langchain, RAG, etc).
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees