Senior AI Agent Engineer

dCortex; Chennai; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

dCortex in India is seeking experienced engineers to join our AI agent orchestration team. This hybrid role can be based in Chennai or Bengaluru, with a preference for Chennai, and involves building production-grade agents, orchestration workflows and enterprise integrations.

You will design robust agent workflows, manage state and approvals, implement secure tool integrations (MCP), and drive reliability with testing, monitoring and cost-optimisation across cloud deployments.

Qualifications

• Strong Python and/or TypeScript and backend fundamentals.
• Experience building agents that use external tools.
• Hands-on experience with agent orchestration and MCP integrations.
• Understanding APIs, OAuth/OIDC, databases, queues and distributed systems failure handling.

Responsibilities

• Design and implement agent workflows, tool calling, and context management.
• Build orchestration with state management, checkpoints, human approvals, and controlled execution.
• Develop MCP servers and clients, and enterprise integrations via APIs, databases and systems.
• Implement authentication, authorization, input validation, and least-privilege tool access.
• Add tracing, monitoring, automated tests, and optimize reliability, latency, and cost.
• Protect against prompt injection, unauthorized actions, and data leakage.

Skills

Python

TypeScript

Backend engineering

Tools

Docker

CI/CD

OAuth/OIDC

Job description

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

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.