Role: Agent Implementation Engineer
Experience: 6+ Years
Location: Hyderabad, Bangalore , Chennai, Delhi
Job Description:
Key Responsibilities

• 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.
• Robust 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.

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