About this role
DEPT builds growth invention services at the intersection of technology and marketing, delivering solutions for major global brands like Google, Meta, and OpenAI. The engineering team focuses on creating robust data, machine learning, and artificial intelligence systems that address complex business challenges across multiple industries.
As an AI Engineer, the individual will design, build, and deploy end-to-end artificial intelligence solutions, multi-agent workflows, and production-ready systems. Responsibilities include consulting with clients, writing scalable backend services, and managing the full generative AI lifecycle from concept to monitoring.
Ideal candidates bring strong Python foundations, cloud platform experience, and hands-on expertise with machine learning frameworks and retrieval-augmented generation architectures. A background in software engineering combined with solid communication skills helps bridge technical implementations and stakeholder requirements in a hybrid work environment.
What you will do
- Design, develop, and implement data-driven solutions and predictive models tailored to specific client challenges.
- Consult with clients to define AI use cases, validate ideas through proof of concepts, and deploy production-ready systems.
- Build and maintain end-to-end artificial intelligence systems focused on scalability, observability, and MLOps principles.
- Develop multi-agent and AI workflows that reliably orchestrate data, tools, and context into production-grade solutions.
- Architect robust backend services applying SOLID principles and create RESTful or GraphQL APIs for application integration.
- Collaborate closely with backend engineers, frontend developers, DevOps teams, and clients to deliver impactful solutions.
- Communicate complex technical solutions clearly to both technical and non-technical stakeholders through demos and presentations.
What you need
- Hands-on experience building and deploying machine learning and AI solutions using frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, or LangGraph.
- Experience working across the full generative AI lifecycle including prompt optimization, evaluation, deployment, and monitoring.
- Familiarity with cloud platforms like AWS, Azure, or GCP alongside native AI services such as SageMaker, Azure ML, or Vertex AI.
- Solid proficiency in Python with the ability to write clean, testable, and reusable code in professional environments.
- Experience designing and implementing retrieval-augmented generation solutions with data ingestion and vector search databases.
- Direct availability to start working in Budapest, Hungary.
Nice to have
- Hands-on experience building and scaling RESTful APIs, preferably with FastAPI
- Experience with containerization and deployment practices including Docker, CI/CD pipelines, and Git workflows
- Basic understanding of cloud security, authentication, scalability, and guardrails for real-time applications
- Strong theoretical foundation in deep neural network architectures such as transformers
- Msc degree in a technical field focused on software, data, or artificial intelligence
Benefits
- Hybrid working policy
- Training, development, and certification opportunities
- Global annual DEPT Cares Month for charity support
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The role operates under a hybrid working policy. Candidates must have direct availability to start working in Budapest, Hungary.
What technologies will I be working with?
The tech stack includes Python, cloud platforms like AWS, Azure, and GCP, along with frameworks such as Scikit-learn, TensorFlow, PyTorch, LangChain, and LangGraph.
What kind of projects does the team handle?
The team designs, develops, and deploys artificial intelligence solutions and multi-agent workflows for global brands and clients across various industries.
What professional development support is available?
The company provides opportunities to develop skills further through training, development, and certifications.