Senior AI Engineer leading the design and implementation of generative AI solutions at Exacaster. Working on challenging analytical projects with a focus on business impact in Vilnius.
Responsibilities
Lead the design, development, and implementation of cutting-edge generative AI solutions.
Architect and build robust, scalable AI-powered systems.
Mentor junior team members.
Develop and deploy complex data processes and solutions based on Generative AI models.
Drive the optimization of existing Generative AI processes and models.
Requirements
3+ years of relevant experience in machine learning and data science.
At least 1+ years specifically focused on Generative AI.
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.
Proven expertise in Large Language Models (LLMs) such as GPT, Claude Sonnet, and similar.
Proficiency in Python and familiarity with GenAI frameworks (e.g., LangChain, Streamlit).
Understanding of software engineering principles and best practices.
Experience with RESTful APIs and microservices architecture.
Understanding of cloud-based platforms and services (AWS, Azure, and/or GCP).
Experience working with vector databases and vector search capabilities.
Benefits
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.
All the support you need from our experienced team to become an even better professional.
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