Hi All,
One of my clients is looking Role : Agentic AI Engineer, if you’re interested or your skills match, please share me your updated resume to sohail@intellectt.com
Job Title : Agentic AI Engineer
Experience : 7+ Years (Minimum 3+ Years in AI / ML & 1+ Year in Agentic AI)
Location : Hyderabad (Onsite)
Interview Mode : Virtual – 2 Rounds
Role Overview :
We are seeking an experienced Agentic AI Engineer to design, build, and deploy autonomous AI agents for enterprise-grade, healthcare-focused applications. The role requires hands-on expertise with frameworks like LangChain and LangGraph to build intelligent agents, multi-agent workflows, and retrieval-augmented pipelines in a regulated environment.
Key Responsibilities :
- Architect and implement autonomous AI agents using LangChain, LangGraph, or similar frameworks.
- Develop multi-agent workflows for enterprise use cases including data retrieval, task automation, and reasoning.
- Build RAG pipelines using vector databases such as Pinecone or FAISS with prompt-chaining logic.
- Integrate LLMs for generative tasks, fine-tuning, safety guardrails, and memory systems.
- Develop Python-based microservices and APIs for agent interactions, inference, and orchestration.
- Deploy solutions using containerization tools (Docker / Podman) and cloud-native infrastructure.
- Implement telemetry, observability, and governance for model evaluation, safety testing, and bias detection.
- Collaborate with Data Science, MLOps, and Product teams to deliver scalable, production-grade AI systems.
- Ensure compliance with enterprise AI governance, data privacy, and security requirements.
Required Skills :
Strong expertise in Python development.Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, or AutoGen.Deep understanding of vector databases and RAG architecture.Knowledge of LLMs, embeddings, prompt engineering, and memory systems.Experience with containerization and cloud deployment.Familiarity with telemetry, observability, and AI governance practices.Strong analytical, problem-solving, and communication skills.Preferred Skills :
Experience in healthcare or regulated domains (HIPAA, PHI).Knowledge of AI safety, bias mitigation, and model audit processes.Experience with LLM fine-tuning, quantization, or distillation.Familiarity with MLOps frameworks such as MLFlow or Weights & Biases.