AI Engineer – Design & Deploy AI Solutions

About the role

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 clients across various industries while collaborating with multidisciplinary teams to solve complex business challenges using cutting‑edge data, machine learning and AI technologies.

Key responsibilities

• 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, 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.
• Design, document, and develop RESTful or GraphQL APIs that serve as the interface between AI workflows and end‑user applications.
• Collaborate closely with back‑end engineers, front‑end developers, DevOps, strategists and clients, leading alignment and delivery of impactful solutions.
• Communicate complex technical solutions clearly to both technical and non‑technical stakeholders, including progress updates, demos and presentations.

Required profile

• Hands‑on experience building and deploying ML and AI solutions using frameworks such as Scikit‑learn, TensorFlow, PyTorch, LangChain, LangGraph or similar.
• Experience across the full GenAI lifecycle, including 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 and ability to write clean, testable, reusable code in professional software development environments.
• Experience designing and implementing Retrieval‑Augmented Generation (RAG) solutions, including data ingestion, embedding strategies and integration with vector search databases.
• Direct availability to start working in Budapest, Hungary.
• MSc degree in a technical field focused on software, data and AI (e.g., Data Science, Computer Science, Artificial Intelligence, Software Engineering).
• Strong communication skills with ability to clearly explain technical concepts to business stakeholders.

Required skills

• Python
• Scikit‑learn
• TensorFlow
• PyTorch
• LangChain
• LangGraph
• AWS
• Azure
• GCP
• SageMaker
• Azure ML
• Vertex AI
• FastAPI
• Docker
• CI/CD pipelines
• Git
• RESTful APIs
• GraphQL
• Vector search databases

What we offer

• Hybrid working policy.
• Certified B Corp status since 2021.
• Opportunity to work with global clients such as Google, Lufthansa, Meta, eBay and OpenAI.
• Training, development and certifications to grow your skills.
• Annual DEPT® Cares Month for charitable activities.
• Inclusive workplace focused on diversity, equity and inclusion.