About the job
Join Hilbert, a pioneering growth engine that leverages data science to provide B2C teams with predictive insights into user behavior, key revenue drivers, and strategies for sustainable growth. Designed for agility, Hilbert condenses lengthy decision-making processes into mere minutes.
Trusted by Fortune 10 enterprises and beloved brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. We are also collaborating with leading AI companies to co-create innovative solutions.
We are in search of a Lead AI Engineer who is ready to take charge of the technical direction of Hilbert's AI infrastructure, engage in hands-on development of production-grade systems, and enhance our expanding engineering team with a founder's mindset of ownership and urgency.
This position is not about managing from afar; you will be actively coding, making architectural decisions, establishing high standards for quality and speed, and cultivating our engineering culture as we grow. You will be the go-to person for navigating ambiguous challenges, high-stakes situations, and uncharted paths. If you possess a deep technical expertise coupled with strong leadership and communication skills, we would love to connect with you.
THE ROLE
You will collaborate closely with the founding team and various departments, including product, data, and go-to-market teams to lead the design, development, and continuous improvement of the AI systems that power Hilbert. You will be deeply involved in coding daily while also defining how we approach development, prioritize tasks, and grow the engineering team. Our environment is characterized by high autonomy and ambiguity, which is inherent in building AI-driven products. Requirements may shift, methodologies can evolve, and the individual closest to the issue will often make the pivotal decisions. As the Lead, it is your responsibility to ensure the team is empowered to make those informed decisions effectively.
Build: Hands-on, every day
Design, build, and maintain AI-powered features and pipelines tailored for enterprise customers at scale.
Architect and implement agent-based workflows utilizing frameworks such as LangChain or LangGraph.
Take ownership of critical systems from experimentation to production deployment and monitoring.
Develop and refine evaluation pipelines to assess, validate, and iterate on AI system performance.
Make pragmatic engineering decisions in the face of uncertainty; ship, learn, and iterate.
Lead: Set direction and elevate standards
Define and own the technical roadmap for the AI stack in collaboration with the founding team.
Make architectural and infrastructural decisions that drive our AI initiatives forward.

