RTB House
Technology
LeadSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer at RTB House. Skills: AI Engineering, Agentic AI, Distributed systems, Technical leadership. Lead software engineers. Mentor engineers”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
6 years distributed systems, Python proficiency, Technical leadership experience, Evaluate third-party tools
Nice to Have
Java, Go, TypeScript, or Scala experience, Experience building internal tools, Experience with MCPs, Agentic AI frameworks experience, Cloud platforms experience, Containerization technologies experience, Ad-tech industry familiarity, Real-time bidding systems familiarity
What You'll Do.
Lead software engineers
Maintain code quality standards
Maintain system performance standards
Design distributed systems
Develop internal productivity tools
Develop multi-agent architectures
Own build vs buy decisions
Evaluate Agentic AI systems
Prototype Agentic AI systems
Integrate Agentic AI systems
Solve business problems
Solve engineering problems
Manage development lifecycle
Ensure maintainability
Collaborate with Product Manager
Collaborate with Engineering Managers
Align Lab innovations
How You'll Work.
Team & Collaboration
Interdisciplinary teams; Cross-functional teams
Process & Methodology
Roadmap definition
Full Job 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. 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
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