As one of the first hires, you will work directly with the founders to build our MVP and launch it to our first users. Your input will extend beyond just the product; you will shape our technical foundation, engineering culture, and decision-making processes.
As our Founding AI Engineer, you will develop and improve our AI library, bringing the most cutting-edge technology to our users. Your background may be in research, where you learned how to distill findings from papers to real solutions, or you worked on AI technology at your last company, bringing LLMs to the existing tech-stack and improving key KPIs. You will work alongside the CTO and Founding Software Engineer to build a first-of-its-kind platform that combines the best of modern software with the latest AI.
Key Responsibilities
Build and ship our AI library, working closely with the CTO and Founding Software Engineer
Reduce hallucination and improve safety of our LLM outputs
Research latest AI developments and integrate them into our library
Data and prompt engineering
Drive your own work-stream and product roadmaps
Work directly with our users to drive improvements in the product
Who We're Looking For
Higher Education (BSc, MSc, PhD) and/or research background
5+ years of experience, accepting graduates only from PhD programs
Strong ML Engineering expertise
Solid understanding of back-end development and infrastructure, such as Flask and Django
Experience launching AI products and/or deploying ML models at scale
Experience delivering products and features to a production environment
Previous experience building and maintaining Python libraries in production
Comfortable with rapid iteration and changing requirements
Previous startup experience preferred
Technical Background
Expert in Python and relevant web frameworks such as Flask/Django
Strong LLM and prompt engineering fundamentals
Experience with RAG (Retrieval Augmented Generation)
Familiarity with cloud infrastructure (Azure & AWS)
Knowledge of Multi-Agent LLM systems
Understanding of anti-hallucination and AI security best practices
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