AI Engineer
Listed on 2026-05-31
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Company Overview
Amsterdam, Rotterdam, London, Manchester, Berlin, Hamburg, Budapest, Zagreb, Skopje, hybrid. DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move.
Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.
We are seeking a talented and passionate AI Engineer to join our growing team. In this role, you will design, develop, and deploy AI solutions for our clients across various industries. You will collaborate with multidisciplinary teams to solve complex business challenges using cutting‑edge data, machine learning and AI technologies.
What You’ll Do- Design, develop and implement data‑driven solutions tailored to client challenges, leveraging predictive models and AI technologies to deliver business value.
- Consult and guide clients by defining AI use cases, validating ideas through proof of concepts (POCs) and deploying scalable production‑ready systems.
- Build and maintain end‑to‑end AI systems, with focus on scalability, observability and continuous optimisation of model performance using MLOps principles.
- Develop multi‑agent and AI workflows, built from scratch or using low‑code tools, that reliably orchestrate data, tools, and context into production‑grade solutions.
- Architect robust and modular backend services, applying SOLID principles to ensure maintainability, testability, and seamless integration of AI components into broader software ecosystems.
- Design, document, and develop RESTful or Graph
QL APIs that serve as the interface between AI workflows and end‑user applications. - Work closely with back‑end engineers, front‑end developers, Dev Ops, strategists and clients, taking a leading role in aligning efforts and delivering impactful solutions.
- Communicate complex technical solutions clearly to both technical and non‑technical stakeholders, including progress updates, demos and presentations.
- Strong technical foundations and experience bringing AI systems from concept to scalable production.
- Hands‑on experience building and deploying Machine Learning and AI solutions, using frameworks such as Scikit‑learn, Tensor Flow, PyTorch, Lang Chain, Lang Graph, or similar technologies.
- Experience working across the full GenAI lifecycle and ability to implement concepts such as observability, prompt optimisation, evaluation, deployment, and monitoring in production environments.
- Experience with cloud platforms (AWS, Azure, GCP) and their respective AI services (Sage Maker, Azure ML, Vertex AI).
- Solid proficiency in Python and experience writing clean, testable, reusable code in professional software development environments.
- Experience designing and implementing RAG solutions, including data ingestion from multiple sources, embedding strategies, and integration with vector search databases.
- Direct availability to start working in Budapest, Hungary.
- Nice to have:
Hands‑on experience building and scaling RESTful APIs (FastAPI preferred) to integrate AI capabilities into broader client systems. - Nice to have:
Experience with containerisation and deployment practices including Docker, CI/CD pipelines and Git‑based collaborative workflows. - Nice to have:
Basic understanding of cloud security, authentication, scalability and guardrails as they apply to real‑time AI applications. - Nice to have: A strong theoretical foundation in deep neural network architectures (e.g. transformers), and a proactive mindset towards exploring and applying emerging ML and AI technologies.
- Nice to have: MSc degree in a technical field with a strong focus on software, data, and AI (e.g. Data Science, Computer Science, Artificial Intelligence, Software Engineering, or a related discipline).
- Nice to have:
Strong communication skills with ability to clearly explain technical concepts to business stakeholders.
- Hybrid working policy.
- A reputation for doing good – DEPT® has been a Certified B Corp® since 2021.
- Awesome clients.
- The opportunity for possibility: training, development and certifications.
- Global annual DEPT® Cares Month where employees donate skills to support local charities.
We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds. If you don’t meet all qualifications, apply; we believe in giving everyone a fair chance to shine. We encourage reaching out to discuss reasonable adjustments to support you throughout recruitment and employment. More info on our DEI efforts:
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