Tech Stack

Description

You will own end-to-end technical delivery of Unstructured AI systems, building and scaling full-stack systems that process large volumes of unstructured content from enterprise sources. Work at the forefront of context engineering to shape how AI systems retrieve and leverage context for accurate results.

Requirements

• Strong proficiency in Python (data processing, API development, integrations)
• Hands-on work with LLM-based and AI-driven enrichment models
• Proven ability to deliver production-grade systems using Big Data frameworks (e.g., Spark)
• Solid understanding of data pipelines, microservice architecture, and API design
• Experience ingesting data from third-party enterprise sources

Responsibilities

• Own end-to-end technical delivery of Unstructured AI systems from prototype to production
• Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content
• Write and review production-grade code across backend (Python, FastAPI)
• Integrate data from diverse enterprise sources (SharePoint, Salesforce, internal APIs) for AI context
• Partner across engineering, product, and sales teams for alignment from prototype to rollout