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
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.

Positive to Have

LangGraph, OpenAI Agents SDK, Semantic Kernel, Temporal, RAG, multi-tenant enterprise platforms.

📌 Senior Ai Agent Engineer Chennai (India)
🏢 dCortex
📍 India