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RTB House Logo RTB House · IT - Software Development

Lead Software Engineer - AI Engineering

Poland · Job Posted February 14, 2026
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Job Description

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering innovation by leveraging the latest Agentic AI advancements. This role is for a hands-on engineer and technical leader who will drive the architecture, development, and deployment of next-generation AI solutions boosting engineering productivity.

Job Responsibility

  • Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality
  • Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV)
  • Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally
  • Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams
  • Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments)
  • Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide
  • Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams.

Requirements

  • Minimum of 6 years of professional experience in Software Engineering, with a strong background in building and deploying complex, large-scale systems
  • Distributed Systems Expertise: Proven, hands-on experience designing, developing, and operating distributed systems at scale (e.g., microservices, event-driven architectures, stream processing)
  • Programming Languages: Proficiency in at least two programming languages, with Python being mandatory
  • AI/ML Engineering: Basic understanding of the Machine Learning lifecycle, MLOps practices, and experience in integrating ML models (especially LLMs) into production applications
  • Technical Leadership: Demonstrated experience in technical leadership, including defining technical roadmaps, mentoring junior engineers, leading code reviews, and driving architectural decisions
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Nice to have

  • Direct experience with Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) and designing multi-agent system architectures
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
  • Familiarity with the ad-tech industry and real-time bidding (RTB) systems
  • Strong foundation in data structures, algorithms, and system optimization.

What we offer

  • Projects focused on high code quality – solid code reviews are our standard
  • Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers
  • Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses
  • Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects
  • Flexible working conditions – no core hours, fully remote cooperation.
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