AI solutions engineering intern at The Blond HR
Tel Aviv, Tel-Aviv District, Israel -
Full Time


Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

0.0

Posted On

10 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, API Integration, LLMs, VLMs, Data Engineering, Problem Solving, English Proficiency

Industry

Data Infrastructure and Analytics

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
Responsibilities
Support the onboarding of enterprise customers on the AI Context Engine and build evaluations to benchmark model performance. Collaborate on technical demos, production deployments, and customer integrations.
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