Amdaris - Senior AI Engineer (Python) Ukraine

Kyiv, Ukraine1w ago

In Office Senior EMEA Cloud Computing Artificial Intelligence AI Engineer Python FastAPI Azure Vault AWS New Relic Docker Hugging Face Transformers scikit-learn Claude Cursor Kubernetes Go

Requirements

• Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks (CrewAI, LangGraph, LangChain, or equivalent). • Production experience with LLMs, including prompt engineering, model evaluation, and operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). • Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and familiarity with AWS. • Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent). • Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus. • Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus. • Daily user of AI development tools (Cursor, Claude Code, Copilot). • Fluent English, spoken and written. • Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go services. • To see more roles, click here.

Responsibilities

• Design, develop, and optimize AI-driven content generation workflows. • Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed. • Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain. • Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation. • Operationalize AI models in collaboration with the AI R&D. • Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic. • Design and run LLM evaluation benchmarks and regression detection. • Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS. • Ensure robust CI/CD pipelines and contribute to SDLC best practices. • Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.