Generative AI Engineer (A901)

Our client is a dynamic software engineering startup  operating in areas such as software development, platform engineering, DevOps & cybersecurity, data and analytics, AI/ML, IoT/automation, and cloud solutions. With a strong focus on agile project management and transparent communication without hidden fees, they deliver solutions designed to accelerate time-to-market, reduce costs, and support clients' digital transformation. The company actively supports community and educational initiatives (e.g., women in IT, student competitions), demonstrating a commitment to social responsibility and an inclusive company culture.

Position: Generative AI Engineer (A901)

Join our team as a Generative AI Engineer and work on creating cutting-edge solutions using the latest technologies in the field of generative AI.

What will be your key responsibilities:

An opportunity for talented individuals to join a team that develops and innovatively utilizes modern technologies in the field of generative AI. As a member of our team, you will have the opportunity to work with globally recognized brands and tackle issues in the software development world that meet specific business needs.

Responsibilities include:

  • Develop prototypes and proof of concepts using Large Language Models (LLMs)
  • Implement Retrieval-Augmented Generation (RAG) systems
  • Explore and create autonomous workflows using agentic AI frameworks
  • Collaborate with the AI product management team to define project 
  • Dedicate 10% of your time to research and contributions in the generative AI domain

What experience should you have:

  • University education at a master's level or equivalent
  • Proficiency in English at B2 level
  • Experience with prompt engineering and LLM application development
  • Experience with RAG systems and vector databases
  • Practical experience in Python in the generative AI field
  • Knowledge of agentic frameworks like LangGraph and AutoGen
  • Ability to communicate clearly and work collaboratively in a research-oriented environment

What do you get in return:

  • 6 extra days off: 3x localhost days and 3x sick days
  • Referral bonus
  • Support for your ideas and transparent communication
  • Flexible working arrangements
  • Bonuses at significant life events
  • Weekly physiotherapist sessions in the office
  • Education support (certificates, courses, trainings)
  • Multisport card
  • Financial contribution to the pension plan
  • Benefit plus budget
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