Role: Agent Implementation Engineer

Experience: 6-15 Years

Location: Hyderabad | Delhi NCR | Bengaluru | Chennai

Job Description:

·         Develop and deploy AI agents using Google ADK, CrewAI, LangChain and LangGraph.

·         Build RAG pipelines using grounding, hallucination mitigation, guardrails, embeddings, vector databases, MCP and function calling.

·         Design multi-agent workflows for routing, planning, memory, tool execution and orchestration.

·         Build event-driven state machines for long-running, multi-step reasoning, branching and context persistence.

·         Create middleware controls for safety rules, policy checks and permission scope.

·         Integrate agents with APIs, databases, vector stores and enterprise applications, and implement testing, security, observability, CI/CD and monitoring.

Required Skills & Experience

·         6–15 years of relevant engineering experience.

·         Strong Python, Generative AI, Agentic AI, LLM and RAG implementation skills.

·         Hands-on experience with Google ADK, GCP, Gemini, Vertex AI, LangChain, LangGraph and CrewAI.

·         Experience with REST APIs, vector databases, MCP, function calling, Docker, Kubernetes and CI/CD.

·         Understanding of event-driven design, state management, grounding and guardrails.

RoleEngineer

Qualifications

BACHELOR OF TECHNOLOGY