Agentic AI Engineer

Agentic AI Engineer

Location:

Notice Period:

Role Overview

agentic AI systems

Key Responsibilities

• Architect autonomous AI agents using

  LangChain / LangGraph / AutoGen

  .
• Build

  multi-agent

  workflows for data retrieval, task automation, and reasoning.
• Develop

  RAG pipelines

  with

  vector DBs

  (Pinecone, FAISS) and prompt chaining.
• Integrate

  LLMs

  for generative tasks: fine-tuning, guardrails, memory systems.
• Build Python-based

  microservices / APIs

  for agent interactions and inference.
• Deploy via

  Docker / Podman

  and cloud-native infrastructure.
• Implement

  telemetry, observability, governance

  (model eval, bias testing, safety).
• Collaborate with Data Science, MLOps, and Product teams.
• Ensure compliance with

  enterprise AI governance

  (security, data governance).

Required Skills

Python, agentic AI frameworks, vector DBs, RAG, LLMs, embeddings, prompt engineering, memory systems, containerization, cloud deployment, observability, AI governance, strong problem-solving & communication.

Experience:

7+ years (3+ yrs AI/ML, 1+ yr Agentic AI)

Preferred

Healthcare / regulated industry (HIPAA, PHI), AI safety, bias mitigation, LLM fine-tuning (quantization, distillation), MLOps (MLFlow, W&B).