AI Platform Lead

4 dni temu

Kraków, Lesser Poland Inuits Pełny etat

We're seeking a senior, hands-on AI Platform Lead to take on a technical leadership and team lead role within a fast-growing startup building production-grade AI platforms for mission-critical industrial systems. Reporting to the CTO, you'll lead and mentor an engineering team while remaining deeply involved in the architecture, design, and delivery of AI-driven software products operating in real-world environments.

About the Project

You'll lead the evolution of an AI software platform that enables autonomous, data-driven decision-making for complex industrial systems. As the platform scales from early deployments to broader production use, you'll guide architecture, delivery, and team execution to ensure reliability, scalability, and real-world performance.

Key Responsibilities:

  • Lead the architecture, design, and implementation of agentic AI systems capable of goal-driven decision-making, planning, and autonomous action;

  • Translate product and customer requirements into scalable, production-ready AI and software platform designs;

  • Drive rapid iteration and deployment while ensuring system reliability, safety, and maintainability;

  • Define engineering and AI platform standards to support long-term scalability and operational excellence;

  • Balance learning-based approaches (RL, ML) with deterministic or rules-based components where appropriate;

  • Participate in design and code reviews, troubleshooting complex technical challenges;

  • Improve development efficiency through process optimization and technical leadership;

  • Coordinate and technically guide a multidisciplinary team of ~30 engineers in collaboration with program management;

  • Support customer-facing and sales discussions requiring deep AI and platform expertise.

Qualifications:

  • 10+ years of experience building complex, production-grade software products, with a strong focus on AI/ML systems;

  • Proven experience deploying decision-making or autonomous systems into customer cloud or hybrid environments;

  • Strong foundation in machine learning, reinforcement learning, optimization, control systems, and statistics;

  • Demonstrated experience designing and delivering agent-based or autonomous platforms;

  • Excellent software engineering skills, particularly in Python and SQL (UX experience is a plus);

  • Ability to make sound architectural and technical decisions with incomplete or imperfect data;

  • Experience working in or scaling early-stage or Series A/B startup environments.

The recruitment process includes:

  • 30-minute HR screening call (Zoom);

  • 1-hour deep technical interview;

  • Strategic discussion with senior technical leadership;

  • Final offer and alignment meeting.

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