RTB House
Technology
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at RTB House. Skills: AI Engineering, Agentic AI, LLMs, System Architecture. Implement high-standard code. Design sophisticated systems”
What You'll Achieve.
Achieve outstanding results; Meet goals; Boost engineering productivity; Provide measurable ROI
Industry & Context.
Build vs. buy/integrate
What They're Looking For.
Must Have
High proficiency in Python, C1 level in English, C1 level in Polish
Nice to Have
Experience with Java, Experience with Go, Experience with TypeScript, Experience with Scala, Experience integrating LLMs, Experience building internal tools, Experience with MCPs, Experience with Agentic AI frameworks, Experience with AWS, Experience with GCP, Experience with Azure, Experience with Docker, Experience with Kubernetes, Familiarity with ad-tech industry, Familiarity with RTB systems
What You'll Do.
Implement high-standard code
Design sophisticated systems
Mentor mid-level peers
Design distributed systems
Deploy multi-agent architectures
Automate complex tasks
Own architectural decisions
Prototype Agentic frameworks
Transform AI advancements
Own development cycle
Production deployment
Long-term scalability
Partner with Product Managers
Partner with Engineering Managers
Provide measurable ROI
How You'll Work.
Team & Collaboration
Interdisciplinary teams; DevOps; Database experts; Backend developers; Product designers; QA engineers
Process & Methodology
Roadmap planning
Full Job 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 road
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