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.