Python + Full-Stack (JS) Developer

Turing’s interview process typically consists of a 60‑minute technical round focusing on data structures, algorithms, and system design, followed by a brief cultural and offer discussion. Questions often cover Python, JavaScript/TypeScript, Docker, and full‑stack concepts. Candidates should practice coding on platforms like LeetCode and be ready to discuss past projects and problem‑solving approaches.

Turing promotes a results‑oriented remote work culture where engineers enjoy flexibility and autonomy. Employees receive regular feedback, mentorship, and opportunities to upskill through internal AI workshops, fostering both personal and professional growth.

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field; any branch accepted. Minimum 60% aggregate (or CGPA 6.5/10). Fresh graduates from 2025‑2027 batches are preferred. No active backlogs at the time of joining. Strong command of spoken and written English.

Round 1: Technical Interview (60 minutes) → Round 2: Cultural & Offer Discussion (15 minutes)

Turing is one of the world’s fastest‑growing AI companies, dedicated to accelerating the advancement and deployment of powerful artificial‑intelligence systems. Founded by a team of AI researchers and engineers, the firm partners with leading AI labs to push the boundaries of model capabilities in reasoning, coding, multimodality, and more. By turning cutting‑edge research into real‑world products, Turing helps global enterprises solve mission‑critical problems while fostering an environment where engineers can work on frontier technology every day. The company operates on a fully remote model, allowing talent from anywhere to collaborate with US‑based customers on commercial and research AI projects. Employees enjoy a culture that values autonomy, continuous learning, and high impact. Regular knowledge‑sharing sessions, mentorship from senior AI scientists, and exposure to state‑of‑the‑art models make Turing an attractive destination for ambitious developers. **Role Summary** We are seeking a Python and JavaScript/TypeScript full‑stack developer who can contribute to the design, development, and maintenance of AI‑driven applications. The role blends traditional web‑app engineering with AI model training pipelines, giving you the chance to write production‑grade code while directly influencing model performance and alignment. You will work closely with researchers, data annotators, and product teams to deliver end‑to‑end solutions for US clients. **Key Responsibilities** 1. Design, develop, and maintain efficient, high‑quality code for training and optimizing AI models. 2. Conduct evaluations (Evals) to benchmark model performance, analyze results, and propose improvements. 3. Rank AI model responses across diverse domains, ensuring alignment with predefined criteria and ethical guidelines. 4. Create and maintain task‑specific datasets for Supervised Fine‑Tuning (SFT). 5. Collaborate with researchers and annotators to implement Reinforcement Learning with Human Feedback (RLHF) and refine reward models. 6. Develop innovative evaluation strategies to enhance model alignment with user needs. 7. Write clear, reusable, and well‑documented code; participate in peer code reviews. 8. Work with Docker containers to ensure reproducible development and deployment environments. 9. Contribute to cross‑functional discussions on product enhancements and performance tuning. 10. Stay updated with emerging AI tools, frameworks, and best practices, integrating them where beneficial. **Tech Stack** Python, JavaScript/TypeScript, Node.js, Nest.js, React / Angular / Vue.js, Docker, Git, CI/CD pipelines, REST/GraphQL APIs, PostgreSQL/MySQL, Linux. **Growth Path** Starting as a junior/full‑stack developer, high performers can progress to Senior Engineer, AI Platform Engineer, or Technical Lead roles within 12‑24 months. Exposure to AI research workflows opens pathways to specialized roles in model engineering or data science. **Why Join Turing?** - Work on cutting‑edge AI projects with leading LLM companies while remaining fully remote. - Competitive compensation and flexible weekly hour commitments (20/30/40 hrs). - Direct mentorship from AI researchers and access to state‑of‑the‑art model libraries. - A culture that emphasizes learning, autonomy, and impact, allowing you to shape the future of AI‑driven products.