Experience: 8 to 12 Years

Role: Senior Agentic AI Engineer / AI Engineer

Location: Coimbatore

Employment Type: Full-Time

Notice Period: Immediate / Short Notice Preferred

We are looking for a Senior Agentic AI Engineer to be a core contributor to our agentic AI capability. The role involves designing and implementing multi-agent, LLM-powered workflows using Python on AWS, with strong hands-on experience in AWS Bedrock / AgentCore, LangChain, LangGraph, RAG, and vector databases.

The ideal candidate will have a strong software engineering foundation combined with practical experience building and deploying production-grade agentic AI solutions.

Key Responsibilities

- Design and develop agentic AI workflows involving planning, reasoning, tool usage, memory, and orchestration.
- Build scalable LLM-powered applications using Python, LangChain, and LangGraph.
- Develop and integrate AI agents using AWS Bedrock / AgentCore.
- Implement RAG pipelines, embeddings, semantic search, and vector database integrations.
- Integrate AI agents with enterprise APIs, applications, databases, and other data sources.
- Design multi-agent architectures and orchestration patterns for complex business workflows.
- Optimize prompts, agent memory, orchestration, latency, and inference performance.
- Develop reusable frameworks, components, and engineering standards for agentic AI solutions.
- Deploy, monitor, troubleshoot, and harden AI services running on AWS.
- Implement appropriate security, scalability, observability, and reliability practices for production AI services.
- Collaborate with architects, product teams, data scientists, and software engineers.
- As a senior member, lead the offshore AI sub-team, establish engineering standards, conduct technical reviews, and mentor team members.

Required Skills





- 8-12 years of experience in software engineering / AI engineering.
- Strong hands-on Python development experience.
- Proven experience building Agentic AI / Generative AI applications.
- Strong hands-on experience with LangChain and/or LangGraph.
- Experience designing and implementing multi-agent orchestration.
- Strong understanding of LLMs, prompt engineering, tool calling, function calling, memory, and agent workflows.
- Hands-on experience with AWS Bedrock and/or AWS AgentCore.
- Strong experience with RAG, embeddings, semantic search, and vector databases.
- Experience integrating AI agents with enterprise APIs, databases, and external tools.
- Experience deploying and operating production-grade AI services on AWS.
- Solid understanding of software engineering principles, APIs, microservices, testing, and CI/CD.

Preferred / Nice-to-Have Skills

- Experience in Insurance / Underwriting domain.
- AWS certification.
- Experience with MLOps / LLMOps.
- Experience with AI observability, evaluation, and model performance optimization.
- Exposure to AWS services such as Lambda, ECS/EKS, S3, OpenSearch, DynamoDB, API Gateway, CloudWatch, etc.
- Experience leading or mentoring AI engineering teams.

Ideal Candidate Candidates with the following background would be highly preferred:

GenAI Engineer Agentic AI Engineer / Technical Lead

Candidates should demonstrate hands-on production experience, rather than only POC or theoretical knowledge of Generative AI.

Key Skills

Python | Agentic AI | Generative AI | LLM | LangChain | LangGraph | Multi-Agent Systems | AWS Bedrock | AWS AgentCore | RAG | Embeddings | Vector Database | Prompt Engineering | AI Agents | LLMOps | MLOps | AWS | API Integration | Microservices

Contact

Reveille Technologies [email protected]

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📌 Agentic AI with Python (Coimbatore)
🏢 Reveille Technologies
📍 Coimbatore