Turing is looking to solve the problem of advancing and deploying powerful AI systems for its clients, including Fortune 500 companies and government institutions, by building real-world AI systems that solve mission-critical priorities.
Requirements
- Experience: 2+ years as an early engineer at a prominent AI product startup.
- Full-Stack Engineering: Proficiency in both front-end and back-end development.
- Portfolio: Demonstrated ability to build and ship real web applications.
- 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.
- Proficiency in programming languages and technologies relevant to AI and full-stack development
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.
- 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.
Other
- 2+ years of experience as an early engineer at a prominent AI product startup
- Bachelor's or Master's degree in Computer Science or related field (not explicitly mentioned but implied)
- Ability to work in a fast-paced environment and collaborate with cross-functional teams
- Strong communication and teamwork skills
- Ability to work at start-up speed and prioritize action and momentum
