Focus area: Agent Orchestration, MCP & Integrations

Location:
India, Chennai or Bengaluru preferred
· Hybrid

Experience:
6–10 years in software engineering, including hands-on LLM/agent development and solid backend experience Role Summary Build safe, production-ready AI agents, orchestration workflows and enterprise integrations for our platform.

Key Responsibilities
• Design and implement agent workflows, tool calling, structured outputs and context management.
• Build orchestration with state management, checkpoints, human approvals and controlled execution.
• Develop MCP servers and clients, and integrations with APIs, databases and enterprise systems.
• Implement authentication, authorisation, input validation and least-privilege tool access.
• Build reliable execution with retries, timeouts, idempotency and recovery mechanisms.
• Implement safeguards against prompt injection, unauthorised actions and data leakage.




• Add tracing, monitoring and automated tests; optimise agent reliability, latency and cost. Required Skills & Experience
• Solid Python and/or TypeScript and solid backend engineering fundamentals.
• Demonstrated experience building agents that use external tools, beyond chatbot prototypes.
• Hands-on experience with agent orchestration and MCP (or equivalent secure tool integrations).
• Understanding of APIs, OAuth/OIDC, databases, queues and distributed-system failure handling.
• Experience implementing human-in-the-loop controls and guarded write operations.
• Experience with automated testing, Docker, CI/CD and cloud deployment. Good to Have LangGraph, OpenAI Agents SDK, Semantic Kernel, Temporal, RAG, multi-tenant enterprise platforms.

📌 Senior AI Agent Engineer (Chennai)
🏢 dCortex
📍 Chennai