Lead Software Engineer - AI Engineering

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. You will: • Technical Leadership: Lead, mentor, and guide a small team of software engineers, fostering a culture of technical excellence, collaboration, and continuous improvement. Set and maintain high standards for code quality, design, and system performance. • Architecture & Design: Drive the design and development of distributed systems utilizing Agentic AI frameworks and large language models (LLMs). Translate complex research into scalable and robust production systems. • Agentic AI Innovation: Spearhead the evaluation, prototyping, and integration of novel Agentic AI and multi-agent systems to solve complex business problems within the ad-tech domain. • Execution: Own the full development lifecycle from concept to production deployment, ensuring solutions are reliable, scalable, and maintainable. Act as the primary technical point of contact for the team’s projects. • Cross-functional Collaboration: Work closely with Research Scientists, Product Managers, and other engineering teams to align the Lab’s innovations with broader company strategy and platform requirements. Desired experience: • 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. Experience with others such as Java, Go, or Scala is a plus. • 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. 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.