Generative AI Engineer

Senior GenAI / LLM Engineer

Experience: 6+ Years

Location: Bangalore

Work Mode: Hybrid

Employment Type: Full-time

About the Role

CoffeeBeans is looking for a Senior GenAI / LLM Engineer to build and optimize production-grade Generative AI applications. The ideal candidate will have strong hands-on experience across LLM application development, prompt optimization, evaluation, guardrails, and observability.

What You'll Do

• Build and optimize LLM/GenAI applications for real-world business use cases.
• Design and improve prompts for accuracy, consistency, and reliability.
• Create LLM evaluations (evals) to measure response quality, relevance, groundedness, and performance.
• Design and implement custom guardrails for domain-specific AI applications, beyond basic prompt instructions.
• Debug and improve LLM applications using LangSmith, MLflow, or similar observability tools.
• Build and optimize RAG pipelines, including retrieval and context strategies.
• Work with LLM frameworks and APIs to develop scalable AI solutions.
• Collaborate with engineering, product, and business teams to take AI solutions from POC to production.

Must Have

• 6+ years of software/AI/ML engineering experience.
• Strong Python development experience.
• Hands-on experience building GenAI/LLM applications.
• Strong experience with Prompt Engineering / Prompt Optimization.
• Experience writing and implementing LLM evals.
• Experience building custom AI/LLM guardrails.
• Hands-on experience with LangSmith, MLflow, or similar tools for LLM debugging/observability.
• Experience with RAG, embeddings, and vector databases.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Experience working with LLMs such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.

Good to Have

• Experience with AI Agents / Agentic AI.
• Knowledge of MCP (Model Context Protocol).
• Experience with Docker, Kubernetes, and cloud platforms.
• Understanding of LLM security concepts such as prompt injection and hallucination prevention.

What We're Looking For

Someone who has hands-on experience building, evaluating, debugging, and improving real-world LLM applications—not just experimenting with prompts or ChatGPT.

If you're excited about building reliable, production-ready GenAI solutions, we'd love to hear from you!