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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 a Senior AI Engineer to join our Genesis team!
About the role:
We are seeking a highly experienced and strategic Senior AI Engineer to lead the design, development, and implementation of cutting-edge generative AI solutions that drive significant business impact. This role involves architecting and building robust, scalable AI-powered systems, primarily leveraging Large Language Models (LLMs), and mentoring junior team members.
Who should apply:
We are looking for a Senior AI Engineer t to join our team, bringing a strong understanding of Generative AI and a proven track record of successfully developing and deploying AI solutions in a production environment. The ideal candidate will possess deep technical expertise, a strategic mindset, and the ability to lead and mentor others. A minimum of 3+ years of relevant experience in machine learning and data science, with at least 1+ years specifically focused on Generative AI, is expected.
Your daily tasks will include:
About the role:
We are seeking a highly experienced and strategic Senior AI Engineer to lead the design, development, and implementation of cutting-edge generative AI solutions that drive significant business impact. This role involves architecting and building robust, scalable AI-powered systems, primarily leveraging Large Language Models (LLMs), and mentoring junior team members.
Who should apply:
We are looking for a Senior AI Engineer t to join our team, bringing a strong understanding of Generative AI and a proven track record of successfully developing and deploying AI solutions in a production environment. The ideal candidate will possess deep technical expertise, a strategic mindset, and the ability to lead and mentor others. A minimum of 3+ years of relevant experience in machine learning and data science, with at least 1+ years specifically focused on Generative AI, is expected.
Your daily tasks will include:
- Develop and deploy complex data processes and solutions based on Generative AI models, taking ownership of the full development lifecycle.
- Design, develop, and maintain advanced knowledge bases using vector embeddings, optimising for performance and scalability.
- Drive the optimization of existing Generative AI processes and models, focusing on performance, scalability, efficiency, and cost-effectiveness.
- Contribute to clear documentation (technical specs, guides, presentations) that helps explain AI concepts to diverse stakeholders.
- Contribute to developing best practices for Generative AI processes within the team.
- Keep up with the latest in Generative AI, explore new technologies, and contribute to prototyping and proposing new initiatives.
- Experience as a Data Scientist or AI Engineer, with hands-on involvement in developing and implementing AI/ML solutions in production.
- Minimum of 1 year of experience in developing and implementing processes based on generative AI models, with proven expertise in Large Language Models (LLMs) such as GPT, Claude Sonnet, and similar. Demonstrated experience deploying these models in production environments is essential.
- Proficiency in Python and familiarity with GenAI frameworks (e.g., LangChain, Streamlit). Experience is a plus, but a strong willingness to learn is equally valued.
- Understanding of software engineering principles and best practices, including data structures, algorithms, and design patterns.
- Experience with RESTful APIs and microservices architecture.
- Understanding of cloud-based platforms and services (AWS, Azure, and/or GCP), with experience deploying and managing AI/ML models in the cloud.
- Experience working with vector databases and vector search capabilities (Pinecone, Azure AI Search, Amazon OpenSearch, vector search extensions in relational databases, etc.), including performance tuning and optimisation.
- Strong business acumen, with the ability to translate business needs into technical requirements and design solutions (develop innovative AI solutions) that deliver measurable value.
- Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to both technical and executive audiences.
- A proactive mindset, with the ability to work independently, lead initiatives, and collaborate effectively in a fast-paced, dynamic environment on several concurrent projects.
- Demonstrated interest in Research and Development (R&D): A passion for exploring cutting-edge technologies and contributing to innovative projects.
- Experience with specific industry applications of GenAI (e.g., telco, finance, e-commerce).
- Experience leading and/or managing technical teams.
- Experience with developing and deploying AI-powered applications at scale.
- Monthly salary for this position is from 5000 Eur gross to 6200 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
Ranked by relevance
ai
technical expertise
machine learning
data structures
microservices
restful apis
prototyping
streamlit
python
cloud
aws
gcp
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- Posted
- Jan 05, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Vilnius
- Company
- Exacaster
Industries
Information Technology & Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Jr Machine Learning & AI Engineer
2026-06-13
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Engineering
View Job Details
Related
Devops Engineer - Azure
2026-06-17
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View Job Details
Related
Middle Full Stack Developer (hybrid)
2026-06-16
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