Our success story began in 1992, when we opened the first IKI store, which was successful due to its exceptional range and high-quality products. Currently, IKI is the second largest retail chain in Lithuania with almost 250 stores in 77 Lithuanian cities. IKI Lietuva is one of the largest employers in the country. We are 5,900 professionals who want our customers to return to our stores every day, where they would not only be pleasantly served, but also buy the highest quality goods at an attractive price. IKI belongs to the REWE group, one of the largest retail chains in Germany. The REWE Group currently operates in 22 European countries with more than 15,000 stores.
Position title: AI Engineer
Place: VILNIUS, PILAITĖS pr. 42, VILNIUS
For more information please contact: Goda, 8-658-81606
KEY RESPONSIBILITIES
Define and document infrastructure requirements for developing and implementing LLM-based applications
Identify existing gaps, propose solutions, and collaborate with group IT team to coordinate necessary changes and ensure seamless integration
Develop analytics solutions to enhance data analysis, automate insights generation, and improve decision-making processes
Develop AI-powered applications to efficiently search and retrieve internal company data, policies, and reports, enhancing organizational knowledge management and accessibility
Deliver reliable, thoroughly tested, and high-performance code within an agile framework
REQUIREMENTS
Experience in developing and implementing AI solutions
Proficiency in Python (familiarity with libraries like TensorFlow, PyTorch, Hugging Face etc. is a plus)
Familiarity with frameworks such as LangChain, LangGraph, or LlamaIndex
Exposure to multi-agent libraries/frameworks like CrewAI, Autogen, or Taskweave is a plus
Proficiency in SQL (experience with Google's BigQuery considered an advantage)
Ability to develop maintainable code that can transition from prototype to production
Familiarity with Git (bonus points for knowledge of Gitlab CI/CD)
Basic understanding of data engineering concepts, including data pipelines, data integration, and data warehousing
University education in a quantitative subject such as mathematics, computer science, software engineering, economics, physics, etc.
Willingness to take ownership of projects and develop solutions from start to finish
Fluency in English
COMPANY OFFERS
Your work will have a direct impact on the company's results
We will implement your good ideas almost immediately - not waiting for the approval of the headquarters somewhere in the world
You will not be bound by corporate processes
Your work has to be innovative and meaningful, we do not want to follow trends, but set them
Last but not least, we mainly offer a fair reward and the possibility of professional growth and education, also a great bunch of people around and a legendary company events
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