Prompt Engineering Intern at Tata Consultancy Services

Tata Consultancy Services is hiring a Prompt Engineering Intern in Kolkata for a 6-month, fully mentored internship. This is real, reviewed work on live projects — not a training sandbox or a certificate mill. About the internship You will join the applied AI team and work alongside people who do this professionally every day. From week one you own a scoped piece of work, take it through review, and see it ship. Day-to-day responsibilities • Design and refine prompts for production LLM features. • Build evaluation sets and measure output quality. • Document prompt behaviour and failure modes. • Test for edge cases, bias and unsafe outputs. • Document your work clearly so the next person can pick it up. • Take part in stand-ups, planning and review sessions with the team. Tools and technologies you will use Prompt Engineering, Large Language Models, Python, Evaluation, RAG, APIs, Documentation, Testing, Critical Thinking, NLP — plus the internal tooling Tata Consultancy Services uses day to day. What you will learn How LLM behaviour is shaped and measured, and why systematic evaluation beats trial-and-error prompting. Team structure You report to a senior team member who acts as your mentor, inside a pod of 6-10 people. Weekly 1:1s track progress and a mid-internship review tells you exactly where you stand. What we expect from you Curiosity, ownership and clear communication. You are not expected to know every tool listed — you are expected to have solid fundamentals, ask good questions, and document what you do. Details: ₹30,000/month stipend · 6 months · Hybrid · 3 openings · Kolkata. If you want to start a career in prompt engineering in Kolkata, apply now. Responsibilities: Design and refine prompts for production LLM features.; Build evaluation sets and measure output quality.; Document prompt behaviour and failure modes.; Test for edge cases, bias and unsafe outputs.; Document your work so the next person can pick it up. Requirements: Education: pursuing or completed any Bachelor's or Master's degree; Graduation year: 2025, 2026 or 2027 batch; Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects); Technical skills: working knowledge of Prompt Engineering, Large Language Models, Python, Evaluation; Soft skills: clear written communication, ownership, willingness to document work; Experience: none required — freshers welcome; prior projects or certifications are a plus.

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