Software Development Engineer

• We are looking for a Software Development Engineer to build and scale an AI-powered document parsing platform that extracts structured data from complex PDFs (pharmaceutical batch records, certificates, regulatory documents) using OCR, LLMs, and RAG.
• You will work across the full stack - backend AI pipelines, frontend chat interface, and cloud infrastructure.

Roles & Responsibilities

• Design and develop production-grade RAG (Retrieval-Augmented Generation) pipelines for domain-specific document querying with hybrid search, reranking, and multi-agent answer synthesis
• Build and optimize document processing pipelines using AWS Textract for OCR extraction from tables, handwritten content, and structured forms
• Integrate and orchestrate multiple LLM models (Claude, Gemini) for intent classification, data extraction, validation, and conversational AI
• Develop and maintain the FastAPI backend - REST APIs, streaming endpoints (SSE), authentication, and background task processing
• Build responsive frontend features using Next.js, React, and TypeScript - chat interface, PDF viewer with highlights, real-time progress tracking
• Manage cloud infrastructure on AWS - EC2 deployment, S3 storage, RDS (PostgreSQL), and IAM configuration
• Work with vector databases (Weaviate) and graph databases (Neo4j) for semantic search and structural document querying
• Implement chunking strategies, embedding generation, cross-encoder reranking, and semantic caching for accurate document retrieval
• Deploy and monitor AI models and services in production - model fallback chains, retry mechanisms, error handling
• Write clean, maintainable code with proper logging, error handling, and documentation

• Python (FastAPI, async programming, pandas)
• TypeScript / React (Next.js)
• RAG systems - vector search, embeddings, chunking, reranking (production-grade)
• LLM integration - prompt engineering, structured output, multi-model orchestration
• AWS - EC2, S3, Textract, RDS
• PostgreSQL
• REST API design with streaming (SSE)
• Git, basic CI/CD, Linux server management

Good to Have

• Weaviate, Neo4j, or similar vector/graph databases
• Gemini Vision or GPT-4V for document image analysis
• LangChain / LangGraph
• Docker, nginx
• Pharmaceutical/regulated document experience

Experience

• 3 6 years

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. This Client is mission is to discover and deliver innovative medicines and solutions that address complex health issues and enhance people's lives. Position: Software Development Engineer