Senior AI Engineer Job at Awin Global (Amsterdam)

Senior AI Engineer

Awin Global

Location:
Netherlands; Germany; Romania; United Kingdom; Spain; Italy; Poland , Amsterdam ▼
Berlin
Hannover
Iași
London
Madrid
Milano
München
Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We're looking for a Senior AI Engineer to help us build the next generation of AI-native products at Awin. The features you'll work on are used directly by advertisers, publishers and partner managers across our global ecosystem to grow and run their affiliate programs things like conversational AI experiences, intelligent automation and decision-support tools built on top of Large Language Models and agent-based architectures. This is a senior product engineering role where you will own real problems end-to-end, make architecture decisions the team builds on and balance technical depth with the realities of shipping software to customers. We expect you to have an opinion on the system design, the evaluation strategy and the way we operate AI in production.

Job Responsibility:

Design, build and operate customer-facing AI features end-to-end, from conversational experiences to intelligent automation
Architect agent-based systems: multi-step reasoning, tool execution, sub-agent orchestration, state management and streaming, structured outputs, persistent memory and human-in-the-loop approval flows
Decide how the system grounds, retrieves and constructs context
Pick the right pattern (retrieval, structured tools, agentic flows) for each problem and be able to defend the choice
Treat prompt and context engineering as first-class engineering work
Own AI quality
Build evaluation datasets, regression tests for prompts and agents and the debugging discipline needed to get to root cause across model outputs, retrieval and tool calls
Make AI production-ready: observability, tracing, reliability, cost, latency and the safety controls that protect against hallucination, prompt injection and context leakage
Make and explain the trade-offs between accuracy, latency, cost and safety within engineering and product partners
Partner within Product Trio to shape what we build, not just how we build it
Turn ambiguous product ideas into concrete technical designs and influence roadmap with what the technology actually makes possible
Mentor engineers around you, contribute to design reviews and our hiring bar and raise the standard for what production-ready AI means inside the team

Requirements:

8+ years of professional software engineering experience, with a track record of shipping production systems
Strong Python and backend system design
Real, hands-on experience building and running production LLM-based systems not just prototypes
Deep experience with agent-based architectures using frameworks such as LangGraph, the Deep Agents or equivalents with multi-step reasoning, tool use, sub-agent orchestration, state and streaming
Strong working knowledge of retrieval and context construction (RAG, embeddings, chunking, ranking) and good judgement about when to use those patterns inside an agentic system
A solid track record of evaluating and debugging AI systems: structured evals, regression tests and tracing or observability with tools such as LangSmith or similar
Familiarity with emerging agent orchestration standards (MCP or similar)
Experience with vector databases and hybrid retrieval
A clear understanding of LLM failure modes like prompt injection, content safety, context leakage and how to mitigate them in real systems
Strong fundamentals in distributed systems, API design and cloud-native architectures on AWS (ECS, Lambda, S3, API Gateway)
Confident with PostgreSQL, Redis, Docker and modern CI/CD pipelines like GitHub Actions
A collaborative engineer who's comfortable working in a Scrum team alongside Product, UX and cross functional teams

Nice to have:

Experimentation frameworks (A/B testing, offline-to-online metric correlation)
Cost-aware AI engineering at production scale in monitoring token usage, model selection, caching and routing strategies that keep latency and spend predictable as traffic grows

What we offer:

Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches
Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member
Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Additional Information:

Job Posted:
May 05, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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