Job Summary

We're seeking an Agentic AI Developer to design, build, and maintain intelligent agent-based systems that interact with enterprise data and workflows. You'll work with our proprietary agentic framework, integrating enterprise systems via MCP servers and orchestrating multi-agent workflows powered by leading LLMs - deployed securely on AWS and hybrid environments.

Responsibilities

- Design, implement, and optimize AI agent workflows within our in-house agentic framework
- Integrate multiple LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, etc.) into production pipelines
- Develop and maintain enterprise connectors through MCP servers for secure data access
- Build RAG pipelines - embeddings, vector search, and retrieval workflows for enterprise data
- Build and deploy scalable microservices and APIs connecting AI agents with existing applications
- Manage full lifecycle: development, versioning, deployment, and maintenance via GitHub, CI/CD, containers
- Monitor model behavior, fine-tune prompts, and optimize cost-performance across LLM providers
- Collaborate cross-functionally to ensure AI agents meet operational and compliance standards

Must-Have Skills

- Programming: TypeScript - deep, hands-on expertise required
- Strong software engineering fundamentals (Node.js a plus)
- Agentic AI Frameworks: Hands-on experience with at least one: LangChain, CrewAI, LangGraph, or similar orchestration framework
- Practical experience integrating LLM APIs (ChatGPT, Claude, Gemini, Mistral, etc.) with prompt engineering best practices
- AWS: Hands-on with AWS - Bedrock, S3, Lambda, and related cloud infrastructure




- Containerization experience (Docker, Kubernetes)
- MCP RAG Architecture: MCP server architecture for enterprise data integrations (REST, GraphQL, MongoDB, SQL)
- Practical exposure to RAG (Retrieval-Augmented Generation) - vector databases, embeddings, retrieval pipelines
- Observability: Implement monitoring, tracing, logging, and observability for AI agents using Langfuse, OpenTelemetry, or similar

Valuable to Have

- Experience with AWS Bedrock AgentCore
- Experience with Claude Agent SDK
- Evaluation: Design evaluation pipelines to measure agent quality, latency, hallucinations, and business outcomes
- LLMOps: Experience with prompt versioning, evaluation, observability, cost optimization, and deployment
- Frontend frameworks (React, Next.js) for agent dashboards/monitoring tools
- DevOps workflows: GitHub Actions, Terraform
- Prior experience building/maintaining multi-agent systems at enterprise scale
- Contributions to open-source AI agentic projects or internal AI accelerators
- Understanding of security, access management, and compliance for enterprise AI systems

Soft Skills

- Strong analytical mindset and debugging ability
- Proven collaboration across multi-disciplinary teams (AI, infra, product)
- Curiosity-driven - stays current with fast-moving LLM and agent ecosystems
- Excellent documentation and communication skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead - Software Developer - Agentic AI Development (Chennai)
🏢 Synergy Group
📍 Chennai