AI Principal Engineer

Improvado

14d•Remote

About The Position

We're looking for a hands-on AI Principle Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it. You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them.

Requirements

A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment
Strong product instincts and user empathy — you think beyond models and love solving real problems
Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code
Deep experience building AI/ML systems, ideally with LLMs in production
Familiarity with the modern AI/LLM ecosystem
Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines
Clear communicator, comfortable leading discussions and making decisions

Nice To Haves

Previous startup or fast-paced environment experience is a plus

Responsibilities

Co-own the AI product and technical roadmap with our CEO
Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters
Design and implement key AI-powered features from the ground up
Drive technical architecture decisions and ensure high code quality and reliability
Write scalable, production-ready code and build intelligent agents using modern LLM frameworks
Define and track success metrics — from model performance to user satisfaction and adoption