Summary
✨ AI‑Generated
A fast-growing AI organization is seeking a Staff Backend Engineer to build the core data and decision infrastructure behind professional-grade AI workflows. The role focuses on reliable backend services, complex and fragmented data, and systems that must operate effectively over long-running real-world processes.
Highlights
Remote Staff-level backend opportunity focused on core data and decision infrastructure for AI-powered professional workflows. The role emphasizes reliable systems, fragmented data, service design, and production-scale engineering with meaningful business impact.
Description
This is a role that TechTree is recruiting for on behalf of one of our clients.
TechTree is an AI-driven recruitment platform working with high-growth companies.
When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.
Staff Backend Engineer — Build the core data and decision infrastructure for an AI platform transforming a $7T industry.
Remote, United States.
A fast-growing AI company is building professional-grade systems for insurers — software that can read, reason, decide, and act inside real workflows over long time horizons.
Products are already in production with leading insurers, driving measurable outcomes and expanding across functions.
They're looking for strong backend engineers who love building reliable systems around fragmented, high-value data.
As part of the Core Backend team, you'll work on the systems at the center of the business: designing services, data models, pipelines, and evaluation loops.
The goal isn't just cleaner data — it's an intelligence layer that makes better, faster, and more explainable decisions.
What You'll Own
→ Business-critical backend infrastructure, end to end
→ Services, data models, pipelines, and evaluation loops at the center of the product
→ Reliability and explainability of an intelligence layer used in real decision-making
What We're Looking For
→ 8+ years of software engineering experience
→ Strong fundamentals in system design, debugging, and problem-solving
→ Python (main stack), though open to strong candidates from other OO backgrounds
→ Experience with serverless technologies (Lambda, EC2), async workflows, and cloud environments
→ Comfort with relational databases, ideally PostgreSQL
→ High ownership, proactive communication, and comfort with experimentation
→ Based in the United States
Bonus: experience with LLMs/generative AI or distributed systems
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