Senior ML/AI Engineer

Your responsibilities, Build scalable memory and retrieval systems for high-context AI workflows, Hybrid retrieval across knowledge graphs, vector, lexical, and structured approaches, Evaluation workflows comparing retrieval and memory strategies on real corpora, Agent memory interfaces — enabling AI workflows to query, inspect, and reuse context, Quality metrics: recall, provenance, latency, cost, Routing logic — deciding when to use lightweight retrieval, deeper reasoning, or agentic workflows, Fine-tuning, distillation, and model adaptation pipelines, Observability for AI workflows: retrieval failures, model regressions, cost budgets What we offer, Fully remote work,, Opportunity to work on exciting AI/ML projects,, Flexible cooperation model,, Career growth and exposure to modern technologies,, Friendly and collaborative work environment.