We're Hiring | Agentic AI Engineer /
Location:Bangalore
Experience:6-8 Years
Notice Period - Immediate to 30days
Are you building AI agents—not just API wrappers
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.
Tech Stack We're Looking For
Must Have:
Python | LangChain | LangGraph | LLMs & Prompt Engineering
RAG | Vector Embeddings & Semantic Search | Agent Engineering
Multi-Agent Orchestration | Custom Guardrails | LLM Evals
LangSmith / MLflow / Similar AI Observability Tools
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!
Interested Drop your resume to [HIDDEN TEXT] or DM me.