Lead - Software Developer - Agentic AI Development

Synergy Marine Group; Chennai District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Synergy Marine Group in Chennai (Office) seeks an Agentic AI Developer to design, build, and maintain intelligent agent-based systems that interact with enterprise data and workflows, using our proprietary agentic framework and MCP-based connectors.

You will deploy on AWS and hybrid environments, develop RAG pipelines, and ensure security, compliance, and scalable microservices. 5+ years of experience in AI/ML software development is expected.

Qualifications

• Strong software engineering fundamentals.
• Experience with agentic AI frameworks and LLM integration.
• Experience with AWS Bedrock and cloud infra.
• Hands-on with Docker/Kubernetes.
• Familiarity with RAG pipelines and vector databases.

Responsibilities

• Design, build, and maintain intelligent agent-based systems.
• Integrate enterprise systems via MCP servers.
• Develop RAG pipelines and vector search workflows.
• Build and deploy microservices and APIs for AI agents.
• Monitor model behavior and optimize prompts.
• Collaborate with AI, infra, and product teams.

Skills

Node.js

LangChain

CrewAI

LangGraph

Prompt engineering

LLM integration

Debugging

Tools

AWS Bedrock

S3

Lambda

Docker

Kubernetes

Langfuse

OpenTelemetry

GitHub

CI/CD

Job description

Lead - Software Developer - Agentic AI Development OMR, Chennai, Tamil Nadu, India 5 - 8 Years Permanent

Job Description

Agentic AIDeveloper

Experience: 5+ Years | Location: Chennai, Tamil Nadu (Workfrom Office)

About the Role

We're seeking an Agentic AIDeveloper to design, build, and maintain intelligent agent-based systems thatinteract with enterprise data and workflows. You'll work with our proprietaryagentic framework, integrating enterprise systems via MCP servers and orchestratingmulti-agent workflows powered by leading LLMs - deployed securely on AWS andhybrid environments.

What You'll Do

• Design, implement, and optimize AI agent workflowswithin our in-house agentic framework
• Develop and maintain enterprise connectors through MCPservers for secure data access
• Build RAG pipelines - embeddings, vector search, andretrieval workflows for enterprise data
• Build and deploy scalable microservices and APIsconnecting 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 optimizecost-performance across LLM providers
• Collaborate cross-functionally to ensure AI agents meetoperational and compliance standards

Must-Have Skills

Programming:

• 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 relatedcloud infrastructure
• Containerization experience (Docker, Kubernetes)
• Practical exposure to RAG (Retrieval-AugmentedGeneration) - vector databases, embeddings, retrieval pipelines

Observability:

• Implement monitoring, tracing, logging, andobservability for AI agents using tools such as Langfuse, OpenTelemetry ,or similar

Good to Have

• Experience with AWS Bedrock AgentCore
• Experience with Claude Agent SDK
• Evaluation : Design evaluation pipelines tomeasure agent quality, latency, hallucinations, and business outcomes
• LLMOps : Experience with prompt versioning,evaluation, observability, cost optimization, and deployment
• Frontend frameworks (React, Next.js) for agentdashboards/monitoring tools
• DevOps workflows: GitHub Actions, Terraform
• Prior experience building/maintaining multi-agentsystems at enterprise scale
• Contributions to open-source AI agentic projects orinternal AI accelerators
• Understanding of security, access management, andcompliance 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 LLMand agent ecosystems
• Excellent documentation and communication skills