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 robust 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
- Strong 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