Exacaster
AI Engineer
ExacasterLithuania3 days ago
Full-timeRemote FriendlyEngineering, Information Technology
At Exacaster we impact the lives of over 40 million consumers on a daily basis by working with clients in the Baltics, USA, Central and South America and the Caribbean. Overall, we operate one of the largest big-data environments in the Baltics, and we certainly have one of the most diverse sets of data and pursue some of the most challenging analytical projects. Exacaster’s team is looking for an AI Engineer to join our Genesis team.

About the role:

We are seeking an AI Engineer passionate about applying generative AI solutions to solve business problems. This role involves designing, developing, and implementing business processes built on top of generative AI models. These processes may encompass both back-end and front-end development, with a primary focus on Large Language Models (LLMs).

Who should apply:

This role is for a AI Engineer who is passionate about and eager to develop their expertise in Generative AI. We encourage you to apply—even if your experience doesn’t perfectly align with our listed requirements. We value passion, curiosity, and a strong motivation to grow in this evolving field.

Your daily tasks will include:

  • Develop data processes and solutions based on Generative AI models.
  • Develop and maintain knowledge bases using vector embeddings.
  • Optimize existing Generative AI processes and models for improved performance, scalability, and efficiency.
  • Collaborate with internal and external stakeholders to define Generative AI project requirements and objectives, ensuring alignment with business goals.
  • Take an active role in preparing documentation (specs, guides, presentations) that communicates AI concepts to different stakeholders.
  • Contribute to the establishment of best practices and standards for Generative AI-based process development within and outside the organisation.
  • Research to stay up-to-date with the latest advancements in Generative AI and machine learning in general.


We are looking for a person who has:

  • Background in Data Science or AI Engineering, with knowledge of data analysis, statistical modeling, and machine learning fundamentals.
  • Strong problem-solving skills with a creative approach to building AI solutions.
  • Familiarity with generative AI and Large Language Models (GPT, Claude Sonnet, or similar). Hands-on experience is a plus.
  • Proficiency in Python, with exposure to GenAI/ML libraries (e.g., LangChain, Streamlit). Willingness to learn new tools is valued.
  • Good understanding of data structures, algorithms, and RESTful APIs.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and exposure to vector databases (e.g., Pinecone, Azure AI Search) is a plus.
  • Good communication skills and a proactive mindset, with the ability to work on multiple projects in a dynamic environment.


Nice to have things:

  • Demonstrated interest in Research and Development (R&D): A passion for exploring cutting-edge technologies and contributing to innovative projects.
  • Previous experience in a consulting environment: Ability to interact with clients, understand their needs, and deliver customized AI solutions.
  • Proficiency with Git for version control: Experience in collaborative development using Git, GitHub, or similar platforms.
  • Innovative mindset: Creative thinker with the ability to develop and implement novel AI solutions.


We promise:

  • Monthly salary for this position from 3200 Eur gross to 5000 Eur gross for a full time role.
  • Participation in the company’s stock options program.
  • Flexible Benefits & Personal learning budget.
  • 10 Growth Days per year – dedicated time for learning and development.
  • Ownership and dynamics in your role.
  • Hybrid work environment with preferably at least 1 day per week in the office.
  • All the support you need from our experienced team to become an even better professional.
  • And the most important thing – you will be part of a great international team!

Key Skills

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