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CoffeeBeans ยท Bengaluru, Karnataka, India

Lead AI Engineer

seniorfull timePosted 12 days ago
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Stack mentioned

agentic-aillmragvector-databasesmlflowobservabilitypythonlangchainprompt-engineeringdata-science

Weโ€™re Hiring | Agentic AI Engineer /

Location: Bangalore

Experience: 6-8 Years

Notice Period - Immediate to 30days

Are you building AI agentsโ€”not just API wrappers?

Weโ€™re looking for an Agentic AI Engineer who loves designing intelligent, production-grade systems and turning LLM capabilities into reliable enterprise solutions.

๐Ÿง  What Youโ€™ll Work On

- Architect and build single & multi-agent systems with complex orchestration and workflow design.

- Develop production-grade RAG pipelines, semantic search, vector embeddings, and vector databases.

- Build intelligent workflows covering data ingestion โ†’ retrieval โ†’ reasoning โ†’ tool calling โ†’ inference โ†’ response.

- Engineer and optimize prompts, context strategies, and agent workflows for accuracy, reliability, and performance.

- Design custom domain-specific guardrails to handle complex and non-trivial business scenarios.

- Build robust LLM evaluations (Evals) to measure quality, accuracy, hallucination, and task performance.

- Debug and trace agentic workflows using MLflow, LangSmith, or similar observability/evaluation platforms.

- Continuously evaluate emerging AI frameworks and technologies and bring the right ones into production.

๐Ÿ”ฅ Tech Stack Weโ€™re Looking For

Must Have:

๐Ÿ Python | ๐Ÿ”— LangChain | ๐Ÿ•ธ๏ธ LangGraph | ๐Ÿง  LLMs & Prompt Engineering

๐Ÿ“š RAG | ๐Ÿ” Vector Embeddings & Semantic Search | ๐Ÿค– Agent Engineering

๐Ÿ”„ Multi-Agent Orchestration | ๐Ÿ›ก๏ธ Custom Guardrails | ๐Ÿ“Š LLM Evals

๐Ÿ”Ž LangSmith / MLflow / Similar AI Observability Tools

๐ŸŒŸ You'll Be a Great Fit If You

- Have 6Years+ of experience across Data Science, ML, AI Engineering, or related domains.

- Have actually built and shipped agentic systems, not just experimented with LLM APIs.

- Can think beyond individual models and design end-to-end AI system architectures.

- Understand the trade-offs between accuracy, latency, cost, reliability, and scalability.

- Enjoy solving ambiguous problems and turning them into production-ready AI solutions.

If that sounds like you, let's talk! ๐Ÿš€

๐Ÿ“ฉ Interested? Drop your resume to [email protected] or DM me.

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