Python + Full-Stack (JS) Developer

Turing’s interview process typically consists of a 60‑minute technical round focusing on coding, data structures, and system design, followed by a short cultural interview to assess communication and alignment with company values. Questions often revolve around Python, JavaScript/TypeScript, Docker, and AI‑related scenarios; practicing problem‑solving and reviewing past candidate experiences can boost confidence.

Turing promotes a results‑driven remote culture where engineers enjoy flexibility and autonomy while collaborating across time zones. The company invests heavily in learning resources and mentorship, offering clear growth pathways and a supportive environment that balances challenging projects with work‑life harmony.

Bachelor’s or Master’s degree in Engineering, Computer Science or related field; any branch accepted. Minimum 60% aggregate (or CGPA 6.0/10). Fresh graduates from 2023‑2027 batches are eligible. No active backlogs at the time of joining. Strong command of English (spoken and written).

Round 1: Technical interview (60 minutes) covering Python, JavaScript/TypeScript, system design, and problem‑solving → Round 2: Cultural fit and offer discussion (15 minutes) → HR coordination for onboarding

Turing is a fast‑growing AI company that partners with world‑leading research labs to push the boundaries of artificial intelligence. By combining cutting‑edge model research with real‑world product engineering, Turing helps its customers solve mission‑critical problems across domains such as reasoning, coding, multimodality, and multilingual understanding. The company operates globally, with a strong remote‑first culture that enables engineers from India and other regions to collaborate with US‑based product teams and AI researchers. The role of Python + Full‑Stack (JS) Developer is designed for fresh talent who are passionate about building end‑to‑end AI‑enabled applications. You will work closely with research scientists, data annotators, and product managers to create robust web platforms that train, evaluate, and fine‑tune large language models. The position offers exposure to both backend services written in Python and modern front‑end frameworks, allowing you to develop a holistic skill set that is highly valued in today’s AI ecosystem. Key Responsibilities: 1. Design, develop, and maintain scalable backend services in Python for model training pipelines and evaluation workflows. 2. Build responsive front‑end interfaces using React, Vue.js, or Angular to visualize model performance and annotation tools. 3. Write Dockerfiles and orchestrate containers to ensure reproducible environments across development and production. 4. Conduct model evaluations (Evals), benchmark results, and generate detailed analysis reports. 5. Lead the creation and curation of task‑specific datasets for Supervised Fine‑Tuning (SFT). 6. Collaborate with researchers on Reinforcement Learning with Human Feedback (RLHF) pipelines and reward‑model refinement. 7. Implement automated testing and CI/CD pipelines to uphold code quality and security standards. 8. Participate in code reviews, providing constructive feedback and ensuring adherence to best practices. 9. Continuously explore new tools, libraries, and methodologies to improve AI training efficiency. 10. Document technical decisions, architecture diagrams, and API specifications for cross‑functional teams. Tech Stack: Python, Docker, JavaScript/TypeScript, Node.js, Nest.js, React, Vue.js, Angular, Git, CI/CD tools. Growth Path: Starting as a junior full‑stack engineer, you can progress to senior engineer, AI platform lead, or specialized roles such as ML Engineer or Product Engineer, depending on your interests and performance. The remote environment encourages mentorship from senior staff worldwide, accelerating learning and career advancement. Why Join Turing? You will be part of a pioneering AI company that offers exposure to state‑of‑the‑art LLM research while delivering real‑world impact for US clients. The fully remote setup provides flexibility, and the company’s commitment to continuous learning ensures you stay at the forefront of AI and full‑stack development.