Задачи
•Develop and deploy generative AI data pipelines and solutions, owning the full development lifecycle from design to production
•Design, build, and maintain high-performance, scalable knowledge bases using vector embeddings
•Optimise generative AI models and processes for performance, scalability, efficiency, and cost-effectiveness
•Produce technical specifications, guides, and presentations explaining AI concepts to technical and non-technical stakeholders
•Contribute to defining and adopting generative AI development best practices within the team
•Monitor generative AI advancements, evaluate emerging technologies, and contribute to prototyping and proposing initiatives
Требования
•Proven experience as a Data Scientist or AI Engineer, designing, developing, and deploying AI/ML solutions in production
•At least 1 year of experience building and implementing generative AI solutions, including production deployments with LLMs such as GPT or Claude Sonnet
•Strong Python proficiency
•Understanding of software engineering principles, data structures, algorithms, and design patterns
•Experience designing and consuming RESTful APIs and working with microservices architectures
•Knowledge of AWS, Azure, and/or GCP, with hands-on experience deploying, scaling, and managing AI/ML models in cloud environments
•Experience with vector databases and vector search technologies, including performance tuning and optimisation
•Strong business acumen and ability to translate business requirements into technical solutions delivering measurable value
•Excellent communication and presentation skills, including explaining complex technical concepts to technical teams and executive stakeholders
•Proactive, self-driven, able to lead initiatives, work independently, and collaborate in a fast-paced, multi-project environment
Будет плюсом
•Experience with LangChain and Streamlit; willingness to learn these tools
Условия
•Remote work available anywhere in the EU
