Junior/Mid-Level GenAI Engineer | Hungary

Description & Requirements

Who we are looking for

We build practical GenAI solutions, including RAG applications, document assistants, tool-enabled workflows, and structured outputs. If you enjoy learning new technologies, writing clean code, and turning ideas into working solutions, this is a great opportunity to grow with our team.

You will work closely with experienced AI Engineers, Solution Architects, and LLMOps specialists. Your focus will be to contribute to implementation, testing, and continuous improvement while developing your GenAI engineering skills.

What you bring:

• with Python and software or GenAI application development, gained through employment, an internship, or substantial project work.
• Basic understanding of Generative AI, large language models, prompt design, and API integration.
• Some exposure to LangChain, LangGraph, LlamaIndex, or a similar framework is an advantage.
• Familiarity with RAG, embeddings, vector search, or document-processing concepts.
• Basic knowledge of REST APIs and backend development; experience with FastAPI or a similar framework is helpful.
• Understanding of software engineering fundamentals such as Git, testing, debugging, and clean code.
• Foundational understanding of cloud concepts, including compute, storage, networking, identity and access management, security, and deployment models; exposure to Azure, AWS, or GCP is expected.
• Curiosity, problem-solving skills, and willingness to learn from feedback.
• Ability to communicate clearly and collaborate in an international team.
• personal, academic, or internship projects involving chatbots, RAG, AI agents, NLP, or data applications.
• EU work permit is required.

Your future role

What you will work on:

• Support the development of GenAI applications using Python and frameworks such as LangChain or LangGraph.
• Help build and test RAG pipelines for document search, summarization, and question answering.
• Connect AI applications to APIs, databases, and internal services with guidance from experienced team members.
• Write, test, debug, and document maintainable code.
• Assist with prompt design, structured outputs, guardrails, and basic evaluation of AI responses.
• Investigate issues using logs and tracing tools and contribute to improving solution quality.
• Learn cloud-based GenAI services on Azure, AWS, or GCP.
• Participate in code reviews, team discussions, knowledge-sharing sessions, and client projects.

Example use cases:

• help users query and understand enterprise data safely.
• build grounded document Q&A, summarization, and information-extraction features.
• support basic automated evaluations, regression tests, and tracing with tools such as LangSmith, Langfuse, or Datadog.
• contribute to solutions using services such as Azure OpenAI and Azure AI Foundry, or equivalent services on AWS and GCP.

What we offer

• A global network + a strong regional AI&D community (~160 people).
• A dedicated technical team that’s actively growing and open to experimenting with new tech (when it actually helps).
• Consultancy work, but on real problems with real impact - solutions people use.
• Specialization in GenAI and adjacent areas, with access to relevant training and certification support.
• Hybrid way of work in Budapest, typically with two office days per week, depending on team arrangements.
• International environment where personal development and growth are supported and highly encouraged.
• Unique opportunity for a long-term career and growth within Deloitte.
• Competitive salary and a range of benefits available in Hungary:
• Annual bonus subject to a discretionary decision.
• Cafeteria benefits with options including the SZÉP card, health-related benefits and pension contributions.
• Annual leave of 20 days, plus additional leave depending on individual circumstances under Hungarian rules.
• Health, travel and group life insurance to support your wellbeing and peace of mind.
• BeWell 360 with sports activities, employee assistance, gym discounts and mental health workshops.
• Professional development through relevant training, professional specializations, language courses and soft-skills programmes.
• Team-building and social activities, plus a friendly, inclusive team culture.