Coffeebeans.io - Senior Generative AI Engineer - Large Language Models

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!