Agentic AI with Python

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.
• Strong 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 removed]
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