Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.
About the role and client: We’re looking for a talented and detail-oriented Full Stack Engineer with strong experience in AI and Node/Express development. You’ll work with the product team to build AI assisted solutions.
Responsibilities: — Integrate AI services (LLMs — classification systems, zero-shot, text generation, etc) into new and existing application architectures — Adjust, refine, and version AI prompts and workflows to improve accuracy, reliability, and real-world performance in production systems — Collaborate with designers, peers, and management to deliver consistent user flows and experiences — Thoroughly test and debug code, participate in code reviews, provide documentation, and ensure systems meet quality standards
Requirements: — At least 5+ years of experience as a full-stack engineer; — Hands-on experience integrating AI or ML services into applications, including prompt design and iteration for LLM-based systems; — A thorough understanding of how model parameters change output; — Experience integrating third party APIs; — Strong proficiency with Node.js, Express, etc and building RESTful and event-driven backend services; — Comfortable working across multiple codebases and projects simultaneously; — Experience with databases (primarily SQL) and data modeling for real-world applications; — Attention to detail and strong testing experience.
Nice-to-Have: — Knowledge of current AI models/services and their tradeoffs and advanced NLP techniques; — Experience fine tuning models and building advanced chat bots; — Familiarity with automated, testing frameworks (e.g., Jest, Cypress); — Experience with monitoring, logging, and production debugging.
What the client offers: — Competitive salary + performance bonuses; — Remote‑first, outcome‑driven culture (potential for hybrid in Kyiv); — Direct access to leadership, fast decisions, zero corporate layers; — Opportunity to build and lead the AI function as we scale.
