AI Engineer
AI Engineer at DEPT designs, builds, and deploys end-to-end AI/GenAI solutions for clients — from RAG pipelines and multi-agent workflows to scalable backend services and APIs — using Python, ML frameworks (PyTorch, TensorFlow, LangChain), and cloud AI platforms (AWS, Azure, GCP) in a hybrid, client-facing agency setting.
- Compensation
- Not disclosed
- Location
- Budapest, Zagreb, Split, Skopje
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Hands-on experience building and deploying ML/AI solutions using frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, or LangGraph
- Experience across the full GenAI lifecycle: observability, prompt optimization, evaluation, deployment, and monitoring in production
- Experience with cloud platforms (AWS, Azure, GCP) and their AI services (SageMaker, Azure ML, Vertex AI)
- Solid proficiency in Python with clean, testable, reusable code in professional environments
- Experience designing and implementing RAG solutions, including data ingestion, embedding strategies, and vector search database integration
- Direct availability to start working in Budapest, Hungary
Nice to have
- Hands-on experience building and scaling RESTful APIs (FastAPI preferred)
- Experience with containerization and deployment: Docker, CI/CD pipelines, Git-based workflows
- Basic understanding of cloud security, authentication, scalability, and guardrails for real-time AI applications
- Strong theoretical foundation in deep neural network architectures (e.g. transformers)
- MSc degree in a technical field focused on software, data, and AI (e.g. Data Science, Computer Science, AI, Software Engineering)
- Strong communication skills to clearly explain technical concepts to business stakeholders
Full description
Amsterdam, Rotterdam, London, Manchester, 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.
JOB PURPOSE
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 optimization 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 GraphQL APIs that serve as the interface between AI workflows and end-user applications.
- Work closely with back-end engineers, front-end developers, DevOps, 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.
WHAT YOU’LL BRING
- We are looking for an AI Engineer who combines strong technical foundations with the ability to bring AI systems from concept to scalable production.
- Hands-on experience building and deploying Machine Learning and AI solutions, using frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, LangGraph, or similar technologies.
- Experience working across the full GenAI lifecycle and ability to implement concepts as observability, prompt optimization, evaluation, deployment, and monitoring in production environments.