QA Tech Lead

🏢 Summary: Development role focused on building and optimizing large-scale ML training and bidding infrastructure for a Deep Learning-powered advertising platform. The position involves designing complex IT systems, improving performance-critical components, and ensuring scalability and reliability in production environments. You will work with Big Data and distributed systems technologies to support high-volume, real-time ad processing. 🗂️ Requirements: Expertise in designing and implementing complex IT systems, Proficiency in at least one of: Python, C++, Java, Scala, Strong Linux expertise, Strong knowledge of algorithms and data structures, Experience in performance evaluation and optimization, Ability to develop scalable and reliable systems, Experience with distributed systems, Hands-on experience with Big Data technologies, Experience with cloud platforms such as GCP 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, DistributedSystems, Hadoop, Kafka, Storm, Spark, Flink, GCP, GPU, Torch, PyTorch, TensorFlow 🏢 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.

🏢 Summary: Development and optimization of a large-scale ML training platform and bidding infrastructure for a Deep Learning-powered AdTech system. The role focuses on building efficient, scalable IT systems, optimizing low-level performance, and evaluating Big Data and ML technologies for production use. You will work on high-impact solutions operating at massive scale in a production environment. 🗂️ Requirements: Experience designing and implementing complex IT systems, Proficiency in Python or C++ or Java or Scala, Strong Linux knowledge, Ability to optimize system performance and troubleshoot production issues, Deep understanding of algorithms, Strong knowledge of data structures, Experience with distributed systems, Experience with Big Data technologies, Ability to ensure scalability and reliability of systems, Experience creating performance and correctness tests 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, DistributedSystems, BigData, Hadoop, Kafka, Storm, Spark, Flink, GCP, GPU, Torch, PyTorch, TensorFlow, ML 🏢 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.

🏢 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.

🏢 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.

🏢 Summary: Technical role focused on supporting and troubleshooting global mobile app and mobile game retargeting campaigns within a Deep Learning-powered AdTech platform. The position involves end-to-end investigation of in-app tracking, attribution, and integration issues, working closely with internal teams and external partners. The role also includes onboarding integrations, improving tracking processes, and acting as an expert in in-app measurement and MMP integrations. 🗂️ Requirements: Experience with in-app or web campaigns, Experience in AdTech or digital marketing, Fluent English, Ability to analyze data in Excel or similar tools, Basic SQL knowledge, Basic JavaScript or scripting knowledge, Ability to investigate attribution and tracking issues, Experience with technical integrations and third-party systems 📃 Skills: SQL, JavaScript, Excel, Appsflyer, Adjust, Branch, GoogleAnalytics, Firebase, MMP, AdTech, Attribution, Tracking, Postbacks, DSP 🏢 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.

🏢 Summary: Senior Frontend Engineer role focused on designing and leading high-performance ad display solutions within a large-scale real-time bidding platform processing millions of requests per second. The position combines hands-on development in JavaScript/TypeScript with technical leadership in complex, cross-team projects. Work centers on performance optimization, scalability, and production system monitoring in a global AdTech environment. 🗂️ Requirements: 8+ years of experience developing complex web software, Proficiency in JavaScript and TypeScript, Strong knowledge of browser APIs, Experience with build tools such as Webpack or Vite, Practical experience with web performance optimization and advanced loading strategies, Very good knowledge of DNS, HTTP, cookies and related Internet technologies, Ability to monitor, analyze and troubleshoot production systems, Understanding of system architectures and backend API integration, Experience with CI/CD pipelines 📃 Skills: JavaScript, TypeScript, BrowserAPIs, Webpack, Vite, OpenRTB, MRAID, VAST, DNS, HTTP, Cookies, CI/CD, Monitoring, RUM, APIs, Caching 🏢 Description: 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. We are looking for engineers to join our Bidding Platform organization which is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. If you want to work on technically complex and demanding solutions, this is the opportunity for you! Our Senior Engineers are experts who combine deep technical expertise with a strong sense of ownership, and they take on Tech Lead roles in complex, cross-team projects. You will: Gain deep understanding our ad technology and become familiar with ad industry standards: OpenRTB, MRAID, VAST etc. Design and lead implementation of high-quality frontend solutions for displaying Ads globally, focusing on performance and scalability. Write, test, and deploy robust, efficient, and well-documented code in JavaScript/TypeScript, ensuring adherence to the highest coding standards. Develop monitoring systems to track crucial metrics like reliability or viewability and use data to diagnose and resolve performance bottlenecks. Collaborate closely with Ads Layouts specialists and backend engineers to ensure smooth data flow and optimal architectural alignment for performance-critical features. Provide hands-on technical leadership: solving complex system challenges, participating in planning and scoping of projects, and ensuring the implementation of the highest coding standards through participation in code reviews. Requirements: 8+ years of hands-on experience in developing complex web software Proficiency in JavaScript/TypeScript and browser APIs. Experience with relevant build tooling (e.g., Webpack, Vite). Practical experience and strong understanding of Web Performance optimization techniques and advanced loading strategies (caching, asset delivery). Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others). Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it). Good understanding of full-stack concepts, including system architectures, working with backend APIs and deployment/CI/CD pipelines. C1 level in English and Polish. Nice to have: Experience in the AdTech/Real Time Bidding space. Experience contributing to Real User Monitoring (RUM) systems. We Offer: Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Cooperation based on B2B contract. You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

🏢 Summary: Senior TypeScript Engineer role focused on designing, developing, and maintaining internal tools and libraries to support organizational workflows. The position involves building TypeScript-based web applications, shaping the tech stack, and solving complex development challenges using modern frameworks and cloud technologies. The role emphasizes clean architecture, testing, and scalable solutions in a cloud environment. 🗂️ Requirements: Minimum 5 years of professional experience with TypeScript and Node.js, Strong knowledge of TypeScript and Node.js, Experience with NestJS, Hands-on experience with React or Next.js, Experience with Google Cloud Platform, Experience with Docker, Knowledge of OOP principles and clean architecture, Ability to apply design patterns, Experience writing unit tests and end-to-end tests, Very good knowledge of Git, Very good knowledge of Linux, Solid understanding of SQL, Communicative level of English 📃 Skills: TypeScript, Node.js, NestJS, React, Next.js, GCP, Docker, SQL, Git, Linux, OOP 🏢 Description: Location: Poland We Are: 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. As a Senior TypeScript Engineer , you will play a key role in designing, developing, and maintaining internal tools and libraries that support our teams across the organization. You will have the opportunity to work with the latest frameworks and libraries, shape the tech stack for each project, and tackle complex development challenges that require creativity and innovation. You Will: Develop and maintain internal tools using a variety of technologies. Build web applications (TypeScript) that support team workflows. Design, develop, and maintain internal TypeScript libraries. Select and adapt the most suitable libraries and frameworks for each project. Solve complex development challenges with a creative, problem-solving approach. Desired Experience: Strong knowledge of TypeScript and Node.js . Experience with NestJS . Hands-on experience with React / Next.js . Experience with Google Cloud Platform (GCP) . Experience with Docker . Minimum of 5 years of professional experience with the above technologies. Knowledge of OOP principles, clean code, and clean architecture. Familiarity with design patterns and the ability to apply them. Experience in writing unit tests and end-to-end tests. Very good knowledge of Git and Linux . Solid understanding of SQL . Communicative level of English . Independence, proactivity, and eagerness to learn and grow. Nice to Have: Knowledge of Google Analytics or Google Tag Manager . Previous experience in the AdTech/Advertising industry . We Offer: The opportunity to contribute to one of the most exciting online projects in Poland with global reach. Hands-on experience in RTB , the fastest-growing and most innovative area of online advertising. Development-focused tasks and a strong emphasis on continuous learning and skill improvement. 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.

🏢 Summary: Staff Engineer role in a high-performance Bidding Platform processing 20M+ real-time auction requests per second. The position focuses on designing and leading complex distributed systems, improving end-to-end ad workflows, and driving architectural excellence in a Deep Learning-powered AdTech environment. It combines hands-on technical leadership with ownership of large-scale, cross-team initiatives. 🗂️ Requirements: 10+ years of experience designing, developing and deploying complex software systems, 3+ years of technical leadership experience in medium or large organizations, Strong expertise in distributed systems architecture and networking fundamentals, Ability to design and lead high-performance, scalable system solutions, Experience conducting code reviews and enforcing coding standards, Fluency in English (C1), Fluency in Polish (C1) 📃 Skills: Java, Python, Aerospike, Memcached, GoogleCloudPlatform, BigQuery, MinIO, Kafka, Clickhouse, PostgreSQL, Elasticsearch, Kubernetes, Prometheus, Jenkins, Graphite, OpenRTB, MRAID, VAST 🏢 Description: Location: Poland (Remote/Flexible) 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. We are looking for engineers to join our Bidding Platform organization which is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. If you want to work on technically complex and demanding solutions, this is the opportunity for you! Our Staff Engineers are experts who combine deep technical expertise with a strong sense of ownership, and they take on Tech Lead roles in complex, cross-team projects. You will: Gain deep understanding of our ad technology and become familiar with ad industry standards: OpenRTB, MRAID, VAST etc. Analyse issues with our end-to-end ad workflows, reproduce problematic cases, and come up with proposals for improvements Design technical and operational solutions that improve ad experience and our performance metrics Lead implementation of the aforementioned architectural solutions, ensuring its high quality, and evaluating its impact on business performance Provide hands-on technical leadership: solving complex system challenges, participating in planning and scoping of projects, and ensuring the implementation of the highest coding standards through participation in code reviews. Cooperate with stakeholders across the entire organization Requirements: 10+ years of hands-on experience in designing, developing and deploying complex software systems 3+ years of tech leadership experience (e.g. tech lead, staff, architect roles) in medium or large organizations Excellent understanding of complex, distributed IT systems - from the hardware and networking level, through software, to algorithms C1 level in English and Polish Nice to have: Experience in the AdTech/Real Time Bidding space. Selected technologies used: Java, Python Aerospike, Memcached Google Cloud Platform, BigQuery, MinIO Kafka, Clickhouse PostgreSQL Elasticsearch Kubernetes, Prometheus Jenkins, Graphite We Offer: Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Cooperation based on B2B contract. You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

🏢 Summary: Technical leadership role focused on building and scaling an AI Engineering Lab that develops multi-agent systems and internal tools powered by LLMs to enhance engineering productivity. The position combines hands-on software development, architectural decision-making (build vs. integrate), and full lifecycle ownership from prototyping to production. The role emphasizes high-performance system design, AI integration in production, and cross-functional collaboration. 🗂️ Requirements: High proficiency in Python, Significant experience with at least one of: Java, Go, TypeScript, Scala, Hands-on experience integrating LLMs into production environments, Proven ability to evaluate third-party tools vs custom-built solutions, Experience designing distributed systems and multi-agent architectures, Ability to define technical roadmaps and drive high-level system design, C1 level English, C1 level Polish 📃 Skills: Python, Java, Go, TypeScript, Scala, LLM, AgenticAI, LangChain, AutoGen, Vercel, MCP, AWS, GCP, Azure, Docker, Kubernetes, DistributedSystems, API 🏢 Description: 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 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. You will be an architect of efficiency. Our approach is highly pragmatic: we build internal tools and autonomous agents to supercharge our engineering workflows. You will be expected to navigate the "build vs. buy/integrate" landscape, determining when to leverage off-the-shelf LLM products and when to architect a custom, high-performance solution. You will: Drive Technical Excellence: Act as a technical pillar within the Lab, implementing high-standard code and sophisticated system designs. You will mentor mid-level peers and lead deep-dive code reviews. Architect Multi-Agent Systems: Design and deploy distributed systems and multi-agent architectures that automate complex engineering tasks. You will own the architectural decisions for "build vs. integrate" strategies. Innovate with Agentic AI: Spearhead the evaluation and prototyping of LLMs, Agentic frameworks, and Model Context Protocols (MCPs). You will transform theoretical AI advancements into production-ready tools. Own the Full Lifecycle: Take responsibility for the entire development cycle. From initial concept and API integration to production deployment and long-term scalability. Influence Product Strategy: Partner with Product and Engineering Managers to ensure the Lab’s innovations align with the broader company roadmap and provide measurable ROI to our developers. Desired experience: Pragmatic Architect: Proven ability to evaluate third-party tools and vendor solutions against custom-built software to find the most efficient path forward. Technical Stack: High proficiency in Python is mandatory. Significant experience with at least one other language (Java, Go, TypeScript, or Scala) is highly preferred. AI/ML Implementation: Hands-on experience integrating LLMs into production environments. Systems Thinker: Ability to define technical roadmaps for specific features and drive high-level design choices that prioritize maintainability and performance. C1 level in English and Polish. 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 extreme performance and high code quality – clean code and solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Cooperation based on B2B contract. You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

🏢 Summary: Technical leadership role focused on building and scaling an AI Engineering Lab that develops internal tools and multi-agent systems to enhance engineering productivity. The position combines hands-on software engineering with architecture design, LLM integration, and build-vs-buy decision making. You will drive end-to-end development of Agentic AI solutions from prototype to production in a high-performance environment. 🗂️ Requirements: High proficiency in Python, Significant experience with at least one of: Java, Go, TypeScript, Scala, Hands-on experience integrating LLMs into production environments, Experience designing distributed systems and multi-agent architectures, Ability to evaluate third-party tools vs custom-built solutions, Experience with system design and defining technical roadmaps, Ability to lead code reviews and mentor engineers, C1 level English, C1 level Polish 📃 Skills: Python, Java, Go, TypeScript, Scala, LLM, AgenticAI, LangChain, AutoGen, Vercel, MCP, AWS, GCP, Azure, Docker, Kubernetes, APIs, DistributedSystems 🏢 Description: 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 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. You will be an architect of efficiency. Our approach is highly pragmatic: we build internal tools and autonomous agents to supercharge our engineering workflows. You will be expected to navigate the "build vs. buy/integrate" landscape, determining when to leverage off-the-shelf LLM products and when to architect a custom, high-performance solution. You will: Drive Technical Excellence: Act as a technical pillar within the Lab, implementing high-standard code and sophisticated system designs. You will mentor mid-level peers and lead deep-dive code reviews. Architect Multi-Agent Systems: Design and deploy distributed systems and multi-agent architectures that automate complex engineering tasks. You will own the architectural decisions for "build vs. integrate" strategies. Innovate with Agentic AI: Spearhead the evaluation and prototyping of LLMs, Agentic frameworks, and Model Context Protocols (MCPs). You will transform theoretical AI advancements into production-ready tools. Own the Full Lifecycle: Take responsibility for the entire development cycle. From initial concept and API integration to production deployment and long-term scalability. Influence Product Strategy: Partner with Product and Engineering Managers to ensure the Lab’s innovations align with the broader company roadmap and provide measurable ROI to our developers. Desired experience: Pragmatic Architect: Proven ability to evaluate third-party tools and vendor solutions against custom-built software to find the most efficient path forward. Technical Stack: High proficiency in Python is mandatory. Significant experience with at least one other language (Java, Go, TypeScript, or Scala) is highly preferred. AI/ML Implementation: Hands-on experience integrating LLMs into production environments. Systems Thinker: Ability to define technical roadmaps for specific features and drive high-level design choices that prioritize maintainability and performance. C1 level in English and Polish. 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 extreme performance and high code quality – clean code and solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Cooperation based on B2B contract. You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.