Python + Full-Stack (JS) Developer

Turing’s interview process typically consists of a 60‑minute technical round focusing on Python, JavaScript/TypeScript, data structures, and system design, followed by a brief cultural interview to assess communication and teamwork. Candidates often encounter questions on AI model evaluation and Docker, so reviewing those topics and practicing coding problems is advisable.

Turing promotes a results‑driven remote culture where engineers are empowered to own end‑to‑end projects while enjoying flexibility. The company emphasizes continuous learning, mentorship, and exposure to cutting‑edge AI research, fostering rapid career growth. Employees report a collaborative environment with clear performance metrics and a healthy work‑life balance.

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology or related fields; minimum 60% aggregate or CGPA 6.0/10; graduating batch 2024‑2026; no active backlogs at the time of joining; strong proficiency in Python and JavaScript/TypeScript; good command of spoken and written English.

Round 1: Technical interview (60 minutes) covering Python, JavaScript/TypeScript, system design, and AI concepts → Round 2: Cultural fit & communication interview (15 minutes) → Offer discussion

Turing is one of the world’s fastest‑growing AI companies, dedicated to accelerating the development and deployment of powerful artificial‑intelligence systems. By partnering with leading AI labs, Turing pushes the boundaries of model capabilities in reasoning, coding, multimodality, and more. The company then translates these breakthroughs into real‑world solutions that address mission‑critical challenges for enterprises across the globe. With a culture that blends cutting‑edge research with product‑focused engineering, Turing offers a vibrant environment where engineers can directly influence the future of AI. The role of Python + Full‑Stack (JS) Developer is crafted for developers who thrive on building scalable, secure web applications while also contributing to AI model training pipelines. You will work remotely with US‑based clients, designing end‑to‑end solutions that blend front‑end interactivity with back‑end data processing and AI model integration. The position is a contractor assignment, requiring a minimum of 20‑40 hours per week with a four‑hour overlap with PST, allowing flexibility while maintaining close collaboration with global teams. Key Responsibilities: 1. Design, develop, and maintain high‑quality Python code for AI model training, evaluation, and fine‑tuning pipelines. 2. Build responsive front‑end interfaces using JavaScript/TypeScript frameworks (React, Angular, or Vue) and integrate them with back‑end services. 3. Conduct systematic model evaluations (Evals), benchmark performance, and generate detailed analytical reports. 4. Lead supervised fine‑tuning (SFT) efforts, creating and curating task‑specific datasets. 5. Collaborate with researchers and annotators to implement Reinforcement Learning with Human Feedback (RLHF) and refine reward models. 6. Develop innovative evaluation strategies to align model outputs with ethical guidelines and user expectations. 7. Write clean, reusable, and well‑documented code, adhering to best practices for security and scalability. 8. Participate in code reviews, provide constructive feedback, and mentor junior contributors. 9. Continuously explore new tools, libraries, and methodologies to improve AI training workflows. 10. Ensure Dockerized deployments for consistent environment replication across teams. Tech Stack: Python, FastAPI/Django, JavaScript/TypeScript, React/Angular/Vue, Node.js/NestJS, Docker, Git, CI/CD pipelines, PostgreSQL/MySQL, AWS/GCP. Growth Path: Starting as a contractor, high performers can transition to senior engineering roles, lead AI‑focused product teams, or move into specialized research engineering tracks. The exposure to cutting‑edge LLM projects accelerates skill development and opens doors to leadership positions in AI product development. Why Join Turing? You will work on frontier AI technologies, collaborate with world‑class researchers, and enjoy a fully remote setup that respects work‑life balance. The role offers a blend of software engineering rigor and AI innovation, making it an ideal platform for ambitious developers eager to shape the next generation of intelligent systems.