{"schemaVersion":"jobsearcher.job.v1","id":"4f7ca5e6b8e7c0584491a24d","url":"https://jobsearcher.com/jobs/4f7ca5e6b8e7c0584491a24d","canonicalUrl":"https://jobsearcher.com/jobs/4f7ca5e6b8e7c0584491a24d","title":"Senior Python Engineer – RAG / LangGraph","description":"Strictly W2 Only - No C2CJob Title: Software Development EngineerLocation: North Chicago, IL 60064Duration: 6 Months ContractWork Type: Hybrid⚠️ Local candidates preferredKey ResponsibilitiesAI / RAG Platform Development (Primary)Design and build production-grade RAG (Retrieval-Augmented Generation) pipelines for querying complex enterprise documents.Implement: Hybrid search, Embeddings, Chunking strategies, Cross-encoder reranking, Multi-agent answer synthesisBuild intelligent systems for pharmaceutical / regulatory document extraction.OCR / Document IntelligenceDevelop document processing pipelines using AWS Textract for: Tables , Handwritten text Structured forms, Certificates, Batch recordsImprove structured data extraction accuracy from complex PDFs.Backend Engineering (90% Focus): Develop backend systems using: Python, FastAPI, Async programmingBuild: REST APIs, Streaming endpoints (SSE), Authentication, Background jobs, Logging / monitoring systemsLLM Integration / Agentic AIIntegrate and orchestrate multiple LLMs such as: Claude, GeminiBuild use cases for: Intent classification, Data extraction, Validation workflows, Chatbot experiences, LangGraph agentic workflowsSecondary Frontend (10%)Support React / Next.js UI components such as: Chat interface, PDF viewer highlights, Progress trackingMust Haves3–6 years experience in software engineering.Strong Python backend development experience.Hands-on experience with: FastAPI, REST APIs, Async systemsStrong hands-on experience building: RAG pipelines, Chunking techniques, Embeddings, Retrieval systems, LLM integration experience.Experience with: LangGraph / agentic AI workflows, Chatbot systems, System design / scalable backend architectureStrong document parsing / extraction experience.⚠️ Profiles missing Python + FastAPI + RAG + LLM experience may be rejected.Nice to HaveReact / Next.js / TypeScript.AWS cloud services: EC2, S3, Textract, RDSPostgreSQL knowledge.Weaviate / Neo4j / vector databases.Docker / nginx.Pharma / regulated document domain experience.Gemini Vision / GPT-4V document image analysis.","company":"All Known Services","rawCompany":"all known services","city":"St Charles","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-04-28T10:41:27.929Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Python Engineer – RAG / LangGraph","description":"Strictly W2 Only - No C2CJob Title: Software Development EngineerLocation: North Chicago, IL 60064Duration: 6 Months ContractWork Type: Hybrid⚠️ Local candidates preferredKey ResponsibilitiesAI / RAG Platform Development (Primary)Design and build production-grade RAG (Retrieval-Augmented Generation) pipelines for querying complex enterprise documents.Implement: Hybrid search, Embeddings, Chunking strategies, Cross-encoder reranking, Multi-agent answer synthesisBuild intelligent systems for pharmaceutical / regulatory document extraction.OCR / Document IntelligenceDevelop document processing pipelines using AWS Textract for: Tables , Handwritten text Structured forms, Certificates, Batch recordsImprove structured data extraction accuracy from complex PDFs.Backend Engineering (90% Focus): Develop backend systems using: Python, FastAPI, Async programmingBuild: REST APIs, Streaming endpoints (SSE), Authentication, Background jobs, Logging / monitoring systemsLLM Integration / Agentic AIIntegrate and orchestrate multiple LLMs such as: Claude, GeminiBuild use cases for: Intent classification, Data extraction, Validation workflows, Chatbot experiences, LangGraph agentic workflowsSecondary Frontend (10%)Support React / Next.js UI components such as: Chat interface, PDF viewer highlights, Progress trackingMust Haves3–6 years experience in software engineering.Strong Python backend development experience.Hands-on experience with: FastAPI, REST APIs, Async systemsStrong hands-on experience building: RAG pipelines, Chunking techniques, Embeddings, Retrieval systems, LLM integration experience.Experience with: LangGraph / agentic AI workflows, Chatbot systems, System design / scalable backend architectureStrong document parsing / extraction experience.⚠️ Profiles missing Python + FastAPI + RAG + LLM experience may be rejected.Nice to HaveReact / Next.js / TypeScript.AWS cloud services: EC2, S3, Textract, RDSPostgreSQL knowledge.Weaviate / Neo4j / vector databases.Docker / nginx.Pharma / regulated document domain experience.Gemini Vision / GPT-4V document image analysis.","datePosted":"2026-04-28T10:41:27.929Z","dateModified":"2026-04-28T10:41:27.929Z","hiringOrganization":{"@type":"Organization","name":"All Known Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Charles","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4f7ca5e6b8e7c0584491a24d"},"url":"https://jobsearcher.com/jobs/4f7ca5e6b8e7c0584491a24d"}}