Must Have Technical/Functional Skills

We are looking for experienced Prompt Engineers with strong hands-on expertise in Large Language Models (LLMs) to design, optimize, and operationalize high quality prompts for enterprise-grade GenAI solutions. The role demands deep understanding of model behavior, prompt patterns, and real world deployment in regulated environments.

- 47+ years overall experience, with 23+ years hands-on Prompt Engineering / GenAI work

- Strong experience with LLMs (GPT 4 / GPT 4o / Gemini / Claude / LLaMA or equivalent)

- Hands-on knowledge of RAG frameworks, embeddings, vector databases, and semantic search

- Experience with Azure OpenAI / OpenAI APIs / Google Vertex AI / Hugging Face

- Strong NLP fundamentals and ability to interpret LLM behavior

- Programming experience in Python (FastAPI / Flask exposure preferred)

- Experience using LangChain / LlamaIndex or similar orchestration frameworks

- Strong analytical skills to evaluate and improve model output quality

Roles & Responsibilities
• Design, test, and optimize advanced prompts (zero-shot, few-shot, chain-of-thought, tool calling, RAG-based prompts) for LLM-driven applications
• Analyze model outputs and continuously refine prompts to ensure accuracy, consistency, and business relevance
• Collaborate with Data Scientists, ML Engineers, and Product teams to integrate prompts into end to end AI workflows
• Support RAG architectures by crafting effective prompts leveraging vector search, embeddings, and enterprise knowledge sources
• Implement guardrails, validation strategies, and hallucination mitigation techniques
• Fine tune prompt strategies based on domain-specific use cases (knowledge extraction, summarization, classification, Q&A, reasoning tasks)
• Document prompt patterns, best practices, and reusable templates for enterprise adoption
• Support client demos, POCs, and pilot rollouts of GenAI solutions

Salary Range: $110,000 to $125,000 per year

Tata Consultancy Service Limited

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