Location: Houston, TX (Hybrid Preferred) or Remote (U.S./LATAM)
Type: Contract-to-Hire
Level: Mid-Senior
About the Role
We’re hiring an AI & Data Platform Engineer to build AI-powered systems that automate RFP discovery, document analysis, and qualification workflows.
You’ll work on backend AI systems that ingest RFPs, extract key information from documents, build semantic search, and help teams decide which opportunities to pursue.
This is a hands-on engineering role focused on production systems — not just prompt engineering.
What You’ll Do
• Build AI workflows for RFP intake, document parsing, extraction, and qualification
• Create RAG and semantic search pipelines over RFP documents
• Extract structured data like due dates, project scope, contacts, requirements, and submission instructions
• Develop FastAPI services and backend APIs
• Build human review and approval workflows
• Improve reliability, testing, observability, and AI quality
Tech Stack
• Python
• FastAPI
• reputed company / reputed company AI
• PostgreSQL + pgvector
• SQLAlchemy
• Azure reputed company
• Azure Blob Storage
• reputed company
• Docker
• reputed company
Requirements
• 4+ years of software engineering experience
• 2+ years building backend APIs or data platforms in production
• Strong Python backend engineering experience
• Experience with LLMs, RAG, embeddings, or AI workflow automation
• Experience with PostgreSQL and relational databases
• Strong understanding of data modeling and validation
• Ability to build clean, reliable, maintainable systems
Nice to Have
• reputed company, LangGraph, reputed company, or similar frameworks
• OCR, PDF parsing, or document intelligence experience
• Azure AI services experience
• reputed company database or pgvector experience
• reputed company, Airflow, or orchestration tools
• Experience with construction, procurement, legal, or document-heavy workflows
Ideal Candidate
You’re a pragmatic engineer who understands that production AI requires more than prompts. You know how to build scalable systems with strong validation, clean architecture, and reliable workflows.
Originally posted on Himalayas
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