Staff AI Engineer

Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running AI-powered Regenerative Applications. Trusted by the world’s largest organizations in highly regulated industries, Regenerative Applications become more secure over time while significantly reducing technical debt—allowing businesses to focus on innovation rather than maintenance. Unqork’s customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. 

At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply! 

Our team builds an AI agent that assists users in building Unqork applications, and we're looking for an engineer to help shape it — from how the agent reasons, to the tools it uses to build and test applications, to the backend that makes it fast and dependable at scale. This is a blend of applied AI engineering and backend systems work, well suited to someone who has built agentic products and enjoys owning ambiguous, high-impact problems end to end.

• Report directly to our VP of Agentic AI
• Shape the core intelligence and behavior of the agent — how it interprets intent, plans, assists, and recovers from failure — so that it reliably helps users build working Unqork applications.
• Help scale the backend that powers the agent in production, contributing to a service that stays fast, observable, and resilient as usage grows.
• Drive how we measure and raise agent quality over time, turning real-world usage into a feedback loop that makes the product steadily more capable and trustworthy.

• Strong software engineering fundamentals — you design clean systems, reason about tradeoffs independently, and ship well-tested code that holds up in production.
• Experience building and operating backend services at scale, with a feel for performance, reliability, and observability; proficiency in TypeScript and Python.
• A track record of building AI- or agent-powered products, and good judgment about how to apply LLMs to real problems — what they're good at, where they break, and how to design around both.
• Strong product intuition — you make sound product decisions in ambiguity, weigh user needs against technical tradeoffs, and know which problems are worth solving.
• You are an avid user of AI coding tools and are passionate about exploring how AI can automate workflows, enhance creativity, and increase your personal impact.

• Experience with agent frameworks or developer kits (e.g. ADK) and the broader LLM tooling ecosystem.
• Background in developer tools, low-code/no-code platforms.
• Front-end  development skills with TypeScript/React