We’re looking for an Agentic AI Engineer who loves designing intelligent, production-grade systems and turning LLM capabilities into reliable enterprise solutions.
? What You’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 → retrieval → reasoning → tool calling → inference → 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.
LangSmith / MLflow / Similar AI Observability Tools
You‘ll Be a Excellent 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! ?
Interested? Drop your resume to or DM me.
📌 Lead AI Engineer (Bengaluru)
🏢 CoffeeBeans
📍 Bengaluru
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