Roles & Responsibilities

- Design and develop AI-powered document intelligence solutions using AWS Bedrock, Claude, and Python.

- Build and enhance PDF extraction, semantic retrieval, and document validation workflows.

- Develop agentic AI workflows using AWS Agent Core/MCP, AWS Strands, LangGraph, or similar frameworks.

- Implement RAG, embeddings-based search, and LLM verification mechanisms with robust guardrails.

- Develop serverless components using AWS Lambda, S3, DynamoDB, and CloudWatch.

- Ensure accurate, traceable, and schema-compliant JSON output generation.

- Integrate AI services with enterprise applications and APIs.

- Participate in Agile delivery, sprint planning, and stakeholder discussions.

Preferred Candidate Profile

- 5+ years of experience in Python development with strong problem-solving skills.

- Hands-on experience with AWS Bedrock, Claude/LLMs, RAG,



embeddings, and semantic search.

- Experience building Agentic AI solutions using LangChain, LangGraph, MCP, AWS Agent Core, or similar frameworks.

- Strong knowledge of Document AI, OCR, PDF processing (PyMuPDF/pdfplumber), and structured data extraction.

- Experience with AWS Lambda, S3, DynamoDB, CloudWatch, and API integrations.

- Understanding of prompt engineering, LLM guardrails, hallucination prevention, and validation frameworks.

- Experience working with JSON schemas, workflow orchestration, and enterprise-scale AI applications.

- Exposure to Healthcare, Life Sciences, Clinical Trials, Localization, or Document Intelligence projects is a plus.

📌 Hiring AI Engineers, Agentic AI & Document Intelligence, AWS Bedrock (Bengaluru)
🏢 Sonata Software
📍 Bengaluru