Senior Software Engineer - AI Engineering

RTB House; Deutschland; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

Modern technologies access

Collaboration within a self-sufficient team

High code quality standards

Zusammenfassung

Dormont Manufacturing Co is seeking a hands-on technical leader for their AI Engineering Lab. This role involves driving technical excellence and architecting multi-agent systems while leveraging cutting-edge Agentic AI frameworks.

The ideal candidate will have strong software engineering experience, proficiency in Python, and a solid understanding of AI/ML implementations. We offer the option to work 100% remotely and focus on high-performance projects.

Qualifikationen

• Proven ability to evaluate third-party tools and vendor solutions.
• Ability to define technical roadmaps for features.
• Experience building internal developer tools is a plus.

Aufgaben

• Drive Technical Excellence through code and system designs.
• Architect Multi-Agent Systems to automate engineering tasks.
• Spearhead the evaluation of LLMs and Agentic frameworks.
• Own the Full Development Lifecycle from concept to deployment.
• Partner with Product and Engineering Managers for strategy alignment.

Kenntnisse

High proficiency in Python

Experience in Java, Go, TypeScript, or Scala

Hands-on AI/ML implementation

C1 level in English and Polish

Tools

AWS

GCP

Azure

Docker

Kubernetes

Jobbeschreibung

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.