Lead Software Engineer - AI Engineering Lab

We are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Our proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to achieve outstanding results and meet their goals at every stage of the funnel.

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:

• 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.

  
  

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.