Lead Software Engineer – AI Engineering

🕒 March 5

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RTB House

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-01

Advertising • Artificial Intelligence • Marketing

RTB House is a global leader specializing in deep learning-powered online ad campaigns. The company provides personalized retargeting and brand visibility services using advanced AI technology to engage new and existing customers across multiple markets. RTB House's dynamic ad formats and deep learning capabilities allow businesses to set ambitious sales targets and drive brand loyalty. Additionally, the company offers solutions to manage the evolving digital ecosystem post-cookies while ensuring brand safety and innovation through collaborative client feedback. With a presence in over 90 markets and partnerships with 700K+ publishers, RTB House delivers measurable results for both direct clients and agencies, helping them achieve competitive advantages in the digital advertising space.

📋 Description

• 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. 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.

🏖️ Benefits

• 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.