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Lead Software Engineer - AI Engineering

RTB HouseCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano26 lipca 2026
Wykryte przez nas
Wykryte przez nas20 lipca 2026
Zarobki
Zarobki42 000 - 58 800 PLN

RTB House is a global leader in marketing technologies, utilizing proprietary Deep Learning algorithms to power its ad-buying engine. We are seeking a Lead Software Engineer to head our AI Engineering Lab, focusing on pioneering innovation and enhancing engineering productivity through Agentic AI.

Key responsibilities

  • Lead and mentor a team of software engineers, fostering a culture of technical excellence and continuous improvement.
  • Design and develop distributed systems and internal productivity tools, making strategic build-versus-buy decisions.
  • Spearhead the integration of Agentic AI, LLMs, and Model Context Protocols to solve complex engineering challenges.
  • Manage the full development lifecycle, ensuring that deployed solutions are scalable, reliable, and maintainable.
  • Collaborate with product and engineering managers to align technical innovations with company strategy.

Requirements

  • Minimum of 6 years of professional experience in building and operating complex, large-scale distributed systems.
  • Proven technical leadership experience, including defining roadmaps and mentoring engineering teams.
  • High proficiency in Python, with additional experience in languages such as Java, Go, or TypeScript.
  • Strong ability to evaluate third-party tools and frameworks to solve problems efficiently.
  • Experience integrating LLMs into production applications and familiarity with MLOps practices.

What we offer

  • Engagement in high-impact projects with a strong focus on code quality and rigorous code reviews.
  • Collaboration within an interdisciplinary, self-sufficient team of experts.
  • Hardware and software tailored to your preferences, including necessary AI tool licenses.
  • Access to modern technologies and the opportunity to work on large-scale, global systems.

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