Senior AI Engineer

Role Overview

We are looking for a Senior AI Engineer to design and build AI-powered systems that automate business workflows, enhance decision-making, and deliver intelligent products across our platform.

 

This is not a research role. You will build production systems that use LLMs, retrieval, and agentic patterns to solve real problems - automating multi-step processes, enriching data pipelines, and putting humans on the loop (supervising) rather than in the loop (doing).

 

You will work across our affiliate marketing, data, and content platforms - designing workflows that range from deterministic (rule-based) to probabilistic (model-driven) automation.

 

Team Context

You'll be part of a new AI function being built within the engineering organisation. You'll initially report to the CTO while the team scales, working alongside backend engineers, data engineers, and product owners. This is early-stage AI work — you'll help define the roadmap alongside product and business stakeholders, shape the architecture, and choose the tooling. If you thrive in ambiguity and want to build something from zero, this is for you.

 

Key Responsibilities

Design and build automated workflows - both deterministic (rule-based) and probabilistic (model-driven)

 

Implement agent orchestration patterns (planning, tool use, evaluation loops, error recovery)

 

Build and maintain APIs and backend services supporting AI-driven functionality

 

Develop retrieval and grounding systems for knowledge search and context enrichment

 

Work with structured and unstructured data to support AI use cases

 

Design evaluation frameworks to measure and monitor AI system quality

 

Design testing strategies for non-deterministic AI systems

 

Manage cost, latency, and quality tradeoffs in production AI systems

 

Collaborate with Backend, Data, DevOps, and Product teams

 

Deploy, monitor, and maintain services in production environments

 

Contribute to system design and technical decision-making

 

Skills & Experience

Required:

Senior-level engineering experience (typically 4+ years) in backend or software engineering (Python strongly preferred)

 

Practical experience building AI-powered applications in production (not just prototypes)

 

Experience with LLM APIs, context engineering, and AI integration patterns

 

Understanding of agentic patterns: multi-step orchestration, tool-calling, state management

 

Experience with retrieval and grounding systems (RAG, semantic search, knowledge retrieval)

 

Solid software engineering fundamentals (API design, system design, databases)

 

Experience with data processing and working with structured/unstructured data

 

Familiarity with cloud platforms (AWS preferred)

 

Experience with Docker and CI/CD workflows

 

Strong debugging and problem-solving skills

 

Ability to take ownership and work independently

 

Preferred:

Experience with agent orchestration frameworks (open-source or custom)

 

Experience designing human-on-the-loop oversight and approval workflows

 

Familiarity with AI evaluation and observability (output quality measurement, drift detection, cost monitoring)

 

Exposure to the affiliate marketing or iGaming industry

 

Experience working in a fast-paced technology startup environment

 

What We Offer

Full remote work flexibility

 

Competitive compensation discussed at first conversation

 

Generous paid time off including vacation, sick leave, and public holidays

 

Budget for learning, experimentation, and conference attendance

 

Opportunity to build AI systems from the ground up in a high-growth business

 

Small, senior engineering team — high autonomy, low bureaucracy

 

Strong ownership culture and direct influence on technical direction

 

Career growth across AI engineering, platform architecture, and technical leadership

 

Department

Traffic Label

Locations

Remote Europe

Remote status

Fully Remote