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DEPT

AI Engineer

DEPT is hiring an AI Engineer in Budapest, Hungary. Level rates it ; you can apply on DEPT.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include OpenAI, LangChain and LangGraph.
  • Level lists 166 other open roles at DEPT.

AI in this role

openailangchainlanggraphvertex-aipytorchtensorflowscikit-learnsagemaker
ragml-ops

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.
  • Experience with cloud platforms (AWS, Azure, GCP) and their respective AI services (SageMaker, 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.
  • Experience with containerization and deployment practices including Docker, CI/CD pipelines and Git-based collaborative workflows.
  • Basic understanding of cloud security, authentication, scalability and guardrails as they apply to real-time AI applications.
  • 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.
  • 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).
  • Strong communication skills with ability to clearly explain technical concepts to business stakeholders.

WE OFFER:

  • Please note that benefits may vary by location. Feel free to reach out to your recruiter for more details
  • Hybrid working policy
  • A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
  • Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
  • The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
  • Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHO ARE WE? 

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

How we rate this

AI Engineer at DEPT rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsOpenAILangChainLangGraphVertex AIPyTorchTensorFlow

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used LangChain hands-on?
  5. Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, OpenAI, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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