Senior AI/Data Engineer - Cotton Holdings Inc.

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

Pydantic / Pydantic AI

PostgreSQL + pgvector

SQLAlchemy

Azure OpenAI

Azure Blob Storage

Prefect

Docker

GitHub

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

LangChain, LangGraph, LlamaIndex, or similar frameworks

OCR, PDF parsing, or document intelligence experience

Azure AI services experience

Vector database or pgvector experience

Prefect, 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.