Senior AI Engineer Chisinau

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.
About the Role
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.
Key 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).

- 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.
Required Skills & Qualifications

- 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).

- Experience with Bedrock

- 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.
Benefits:

- Opportunities for certification and training

- Dual monitor setup and high-spec workstations

- English courses

- Gym allowance

- Medical Reimbursement

- Full salary covered up to 20 days of sickness

- Flexible working hours

- Loyalty scheme

- Team building activities, special events and conferences

- UK/EU Travel opportunities

- Snacks and drinks in the office
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