April 11, 2026
Lead Software Engineer - AI Engineering
Senior • Remote
250 - 350 PLN
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 and boosting engineering productivity by leveraging the latest advancements in Agentic AI. We are looking for a hands-on technical leader with a strong, traditional software engineering background.
In this role, you won't just be writing custom code from scratch. Our approach is highly pragmatic: we build internal tools, intelligent agents, and MCPs to supercharge our engineering workflows. A critical part of our philosophy is knowing when to leverage off-the-shelf products and existing frameworks versus when to architect and build custom solutions. We need a leader who can navigate this landscape and pick the absolute best solution for the task at hand.
You will:
Lead & Mentor: 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 and system performance.
Drive Pragmatic Architecture: Design and develop distributed systems, internal productivity tools, and multi-agent architectures. You will own the "build vs. buy/integrate" decisions - choosing the right mix of off-the-shelf AI products, APIs, and custom-built components.
Innovate with Agentic AI: Spearhead the evaluation, prototyping, and integration of novel Agentic AI systems, LLMs, and Model Context Protocols (MCPs) to solve complex business and engineering problems.
Own the Execution: Manage the full development lifecycle from concept to production deployment. Ensure that the solutions we deploy are reliable, scalable, maintainable, and deliver real value.
Collaborate Cross-Functionally: Work closely with Product Manager, Engineering Managers, and broader engineering teams to align the Lab’s innovations with company strategy and platform requirements.
Desired experience:
Strong Software Engineering Background: Minimum of 6 years of professional experience building, deploying, and operating complex, large-scale distributed systems (e.g., microservices, event-driven architectures).
Technical Leadership: Demonstrated experience defining technical roadmaps, mentoring engineers, leading code reviews, and driving high-level architectural decisions.
Programming Languages: High proficiency in Python is mandatory. Experience with at least one other language (such as Java, Go, TypeScript, or Scala) is highly preferred.
Solution Evaluation: Strong intuition and experience in evaluating third-party tools, frameworks, and vendor solutions to solve engineering problems efficiently rather than always building from scratch.
AI/ML Integration: Experience integrating large language models (LLMs) into production applications, alongside a basic understanding of the Machine Learning lifecycle and MLOps practices.
Nice to have:
Direct experience building internal developer tools, custom Model Context Protocols (MCPs), or using Agentic AI frameworks (e.g., Vercel AI SDK, LangChain, AutoGen, Agent Development Kit).
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Familiarity with the ad-tech industry and real-time bidding (RTB) systems.
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 and fully remote cooperation.
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Warsaw, Poland
35,000 - 47,000 PLN
🏢 Summary: Technical role focused on developing and optimizing large-scale ML training platforms and bidding infrastructure for real-time ad systems. The position involves building complex IT systems, improving performance at low-level components, and ensuring scalability and reliability in production environments. It offers the opportunity to work with Big Data and distributed systems at massive scale. 🗂️ Requirements: Expertise in designing and implementing complex IT systems, Ability to develop user-friendly and versatile tools, Proficiency in at least one programming language: Python, C++, Java, or Scala, Strong Linux expertise, Strong knowledge of algorithms and data structures, Experience in evaluating and optimizing system performance, Ability to ensure scalability and reliability of systems, Experience creating performance and correctness tests 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, MachineLearning, Torch, PyTorch, TensorFlow, GPU, DistributedSystems, Hadoop, Kafka, Storm, Spark, Flink, GCP 🏢 Description: Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers. We Offer: A highly competitive salary. The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills. Flexible working hours, with the possibility of remote work or working from our office in Warsaw. Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project. An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model. The ability to see the immediate impact of your work on the company's business outcomes. The possibility of publishing your results. Daily Responsibilities: Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. Identifying performance bottlenecks and optimizing critical, low-level parts of the system. Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components. Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment. Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Technology
RTB House
Traffic InApps Technical Support Specialist
Mid
Remote
12,000 - 16,000 PLN
🏢 Summary: Technical role focused on supporting and investigating mobile app and mobile game retargeting campaigns globally, with emphasis on in-app attribution, tracking, and data analysis. The position involves diagnosing complex technical issues across internal systems, MMPs, and third-party integrations, and ensuring accurate campaign measurement and reporting. The role also contributes to improving tracking processes, integrations, and technical documentation. 🗂️ Requirements: Experience with in-app or web campaigns or in AdTech/digital marketing, Fluent English, Ability to analyze data using Excel or similar tools, Basic SQL knowledge, Basic JavaScript or other scripting language knowledge, Experience investigating attribution, tracking, and data discrepancies, Ability to perform root cause analysis using raw data, Experience with tagging and postback mapping, Ability to work with tracking systems or MMP integrations 📃 Skills: SQL, JavaScript, Excel, MMP, Appsflyer, Adjust, Branch, Firebase, GoogleAnalytics, Attribution, Tracking, Postbacks, Tagging, Redirection, AdTech 🏢 Description: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Our team in Poland consists of 5 people and is an integral part of our company’s global presence. We combine local expertise with our broader company vision. We are responsible for handling current technical issues in mobile apps/mobile games campaigns, run all over the globe. You Will: Handle technical tickets related to mobile app and mobile game retargeting campaigns run globally; Perform end-to-end technical investigations of in-app campaigns across RTB House systems, MMPs, and third-party integrations; Analyze and resolve complex attribution, tracking, redirection, and data consistency issues, including discrepancies between internal and external reports; Conduct root cause analysis using raw data (Excel, SQL, internal tools) and propose effective, long-term solutions; Review, validate, and support JavaScript-based tagging and postback mapping solutions; Collaborate closely with Technical Account Managers, Business Teams, and internal technical departments to diagnose and resolve issues; Participate in onboarding new advertisers and integrations from a technical perspective; Contribute to improving internal tools, monitoring, and processes related to in-app tracking and measurement; Act as a subject-matter expert for in-app attribution, tagging, and MMP integrations; Create and maintain clear technical documentation, tutorials, and best practices for internal teams. Desired Experience: Experience with in-app/web campaigns and/or experience in AdTech, digital marketing etc., Fluent English - the technical issues are discussed in this language on a daily basis; Ability to work with data and analyze data in Excel/different tools; Basic SQL knowledge; Basic JavaScript (or other scripting language) knowledge; Analytical approach to problem solving; Good communication skills, especially in terms of creating brief and precise descriptions of issues while being in touch with other departments; Good self-organizing skills. Nice to have: Knowledge what MMP platform stands for and how to use one (e.g. Appsflyer, Adjust, Branch); Experience with tracking systems/solutions (Google Analytics, MMP. Firebase, internal business intelligence system); Interest in new technologies, online advertising or e-commerce. We Offer: A flexible cooperation model — remote or hybrid — tailored to your preferences. Competitive salary and opportunities for growth. Form of cooperation: contract of mandate or B2B contract. Collaboration with an award-winning organization that shapes the future of online marketing globally and is, on top, one of the fastest-growing tech companies in Europe, Deloitte - Fast 50 CE and Financial Times 1000: Europe’s Fastest-Growing Companies. Opportunity to provide services in a truly international environment with the best people in one of the fastest-growing segments of online advertising with a proven history of customer satisfaction with our AI-powered retargeting technology. Opportunity to collaborate at the forefront of the ad-tech industry, shaping the future of digital advertising through data-driven insights.