LOCATION: CHENNAI / HYBRID

We are looking for a highly experienced AI Agent Developer who has already built and deployed production-grade AI systems using Claude, OpenAI, MCP servers, and agentic workflows.

This is not a role for someone experimenting with AI or learning on the job. We need someone who deeply understands how Claude and GPT models behave in real-world environments, including context management, tool calling, memory strategies, agent orchestration, failure modes, and production reliability.

Key Responsibilities
Design, build, and deploy production-grade AI agents using Claude, OpenAI, MCP, and agentic workflow frameworks.
Develop Claude Agents, Claude Code workflows, Claude Skills, Custom GPTs, and OpenAI Assistants.
Build and maintain MCP servers, connectors, and shared tooling that work across multiple AI platforms.
Integrate AI systems with platforms such as ServiceM8, Xero, Microsoft 365, HubSpot, GoHighLevel, Wunderbuild, and other client applications.
Create REST API wrappers, authentication layers, OAuth integrations, webhooks, and middleware services.
Architect scalable multi-agent systems, memory frameworks, and context management strategies.
Troubleshoot AI agent failures, identify root causes, and implement reliable production solutions.




Deliver solutions from scope documents with minimal supervision while collaborating with clients during Australian business hours.
Ensure security, scalability, maintainability, and production readiness of all AI implementations.

Required Qualifications
Proven experience building and deploying MCP servers used by real customers in production settings.
Hands-on experience with Anthropic Claude and OpenAI APIs, including tool use, function calling, agent orchestration, and workflow automation.
Deep understanding of context management, memory architectures, prompt engineering, agent failure modes, and AI system reliability.
Robust experience with third-party API integrations, OAuth, webhooks, authentication flows, and REST-based architectures.
Advanced proficiency in Node.js and/or Python, including serverless and cloud-based deployments.
Ability to independently design, build, test, and deploy solutions from technical specifications.
Experience with n8n, Make, Zapier, or similar automation platforms.
Experience with AWS, Azure, or Google Cloud deployments.
Knowledge of RAG architectures, vector databases, and AI knowledge systems.

📌 Ai Developer Claude Chennai
🏢 Akra Tech
📍 Chennai