Senior AI Engineer (Python) Ukraine

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021 94% in 2022 while in 2023 we joined forces with Insight a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects there has never been a better time to join our incredible team.

We are building production-grade agentic content workflows for an English Language Learning platform. It uses AI agent architectures to generate and validate educational content at scale serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design LLM orchestration evaluation and production operations.

We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain an LLM-driven conversation engine and Ambient ORA a speech assessment engine powering multiple products for our client. The role sits at the intersection of product engineering and AI science bridging research outputs from the R&D team into production-grade services.

• 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.

• 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.

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