Engineering Lead, Agentic AI Platform

Esko; Poznań; Hybrid; PLN 524,000 - 786,000; Full time

Benefits offered by this job

Joining Prague engineering hub

Internal MLOps expert

International collaboration across产品

Career growth and recognition

Job summary

Esko, a Veralto company, is seeking a hands-on engineering leader to head the Agentic AI platform team in Prague, coordinating with product engineering, cloud platform, security, and design. You will drive end-to-end ownership of substantial platform areas and measure success by adoption and impact.

You will work with global teams to translate shared needs into reusable capabilities, while maintaining coherence across domains.

Qualifications

• Strong production software engineering experience in Python, TypeScript, Java, or a similar language, including designing, building, and operating reliable systems.
• Demonstrated experience leading and developing engineers, including line management, coaching, performance feedback, and creating meaningful technical ownership.
• Experience building a platform, API, or shared service used by multiple teams, with sound judgement about abstractions, interfaces, compatibility, and operational responsibilities.
• Experience designing or building production AI systems using large language models, tool use, or agentic workflows, together with a practical understanding of their limitations and risks.
• A track record of taking uncertain or early-stage technical ideas through evaluation, implementation, and adoption as dependable production capabilities.
• Ability to balance platform coherence with legitimate product and domain differences, and to make clear technical trade-offs when needs conflict.
• Experience collaborating across product engineering, architecture, infrastructure, security, and business functions in a global organization.
• Excellent written and verbal communication, with the ability to explain technical decisions clearly to engineering, product, and leadership audiences.
• Undergraduate, Master’s degree or PhD in Computer Science / Machine Learning / Data Science / Artificial Intelligence, or related disciplines.

Responsibilities

• Lead and develop the Agentic AI engineering team through clear goals, regular feedback, coaching, performance management, career development, and thoughtful allocation of ownership.
• Contribute directly to the design, implementation, and operation of substantial areas of Esko's shared Agentic AI platform.
• Help shape the platform's technical direction, architecture, interfaces, and engineering quality bar in collaboration with the wider platform and architecture community.
• Translate recurring product and engineering needs into reusable platform capabilities, while accommodating legitimate domain differences without creating product-specific forks.
• Establish strong engineering practices for reliability, security, observability, evaluation, performance, and compatibility for consuming teams.
• Work directly with product engineering teams to support adoption of the shared platform and help them take domain-specific agentic capabilities from exploration into production.
• Create an environment in which engineers can experiment, learn, challenge assumptions, and make evidence-based technical decisions while remaining accountable for production outcomes.
• Define and use meaningful measures of platform adoption, quality, operational performance, delivery effectiveness, and team development to guide priorities and improvement.

Skills

Python

TypeScript

Java

engineering leadership

platform ownership

Education

Undergraduate, Master’s degree or PhD in Computer Science / Machine Learning / Data Science / Artificial Intelligence

Job description

Esko, a Veralto company, is seeking a hands-on engineering leader to head the Agentic AI platform team in Prague, coordinating with product engineering, cloud platform, security, and design. You will drive end-to-end ownership of substantial platform areas and measure success by adoption and impact.

You will work with global teams to translate shared needs into reusable capabilities, while maintaining coherence across domains.