Job description
Description
About the company
Flexor is a leading AI infrastructure company building the context layer that makes enterprise AI actually work. Backed by strategic investors, our technology transforms unstructured data, including documents, emails, contracts, call transcripts, and more, into clean, governed, AI-ready context using cutting-edge LLMs and VLMs. We help enterprises move from generic AI to business-aware applications and AI agents they can actually trust. Our team operates at the intersection of data, applied AI, and enterprise software, and we're building fast.
About the role
You'll be embedded in our core engineering and solutions team from day one, working directly with enterprise customers and contributing to real production systems. This isn't a shadowing role. You'll build, test, and ship alongside some of the sharpest AI and data engineers in the field, on problems that sit at the frontier of enterprise AI.
Responsibilities-
Work closely with the solutions engineering team to onboard and support enterprise customers on Flexor's AI Context Engine
Build and run evaluations to benchmark model performance across large-scale, diverse enterprise data
Collaborate on technical demos, production deployments, and customer integrations
Requirements
Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related field
Strong Python and SQL fundamentals, with comfort working with APIs and developer tools
Genuine curiosity about LLMs, VLMs, AI systems, and the future of enterprise data
Excellent written and spoken English; you'll be working with international customers and engaging with cutting-edge research
Ability to operate independently and thrive in a fast-moving, high-ownership environment
Strong problem-solving instincts and a bias for action