Senior AI Engineer Chisinau

<div class="content-intro"><p>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. </p></div><p><strong>About the Project</strong><br>The platform 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.<br><br><strong>About the Role</strong><br>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. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Design, develop, and optimize AI-driven content generation workflows.</li> <li>Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.</li> <li>Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.</li> <li>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.</li> <li>Operationalize AI models in collaboration with the AI R&D.</li> <li>Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.</li> <li>Design and run LLM evaluation benchmarks and regression detection.</li> <li>Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.</li> <li>Ensure robust CI/CD pipelines and contribute to SDLC best practices.</li> <li>Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.</li> </ul> <p><strong>Required Skills & Qualifications</strong></p> <ul> <li>Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks <br>(CrewAI, LangGraph, LangChain, or equivalent).</li> <li>Production experience with LLMs, including prompt engineering, model evaluation, and <br>operationalizing research output