New 
Software Development Engineer
 Spectraforce Technologies | |
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 Apr 18, 2026 | |
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Role: Software Development Engineer Location: Lake County, IL (Hybrid - 3 days/week onsite) Duration: 6+ months (possibility of extension) Job Description: 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 Required Skills: * 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 * Docke, nginx * Pharmaceutical/regulated document experience Experience: * 3-6 years | |