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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.
Job Responsibility:
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
Requirements:
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
What we offer:
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