We are looking for a self-driven AI Engineer who helps to design and to develop secure, high-performing AI-driven applications for both internal use and external partners.

Your main responsibilities will be to

• Design and deploy applied AI features: RAG pipelines, chatbots, transcription, summarisation, image generation
• Integrate and optimise retrieval pipelines using vector databases (e.g. FAISS, Weaviate, Pinecone, Elasticsearch)
• Package prototypes into production-ready services (Docker, basic Kubernetes, CI/CD)
• Apply MLOps best practices: version control, monitoring, retraining when necessary
• Stay current with the latest LLM and generative AI developments and translate them into practical solutions

As a successful candidate, you must have

• 2+ years of experience in AI/ML engineering, ideally with LLM/RAG projects
• Strong Python skills and hands-on experience with modern python+AI stacks (uv, FastAPI, Pydantic, Hugging Face, PyTorch, LangChain/LlamaIndex, OpenAI/Anthropic APIs)
• Familiarity with infrastructure and DevOps basics: Docker, Git/GitHub Actions, cloud storage (S3, GCS, Azure Blob)
• Ability to handle data engineering tasks (data cleaning, indexing, preparation for retrieval)
• Excellent communication skills in Estonian and English

You will stand out by having any of the following:

• Experience leading small AI teams
• Practical experience deploying AI solutions in cloud environments (AWS SageMaker, GCP Vertex AI, Azure ML, or Kubernetes-based setups)
• Familiarity with experiment tracking and monitoring tools (MLflow, Weights & Biases, Grafana, Prometheus)

We are offering:

• To be a part of an exciting international project
• Supporting and motivated team
• A possibility to attend work-related conferences or trainings of your own choice
• Mental and physical health benefits, such as health days, sports allowance, massage
• Flexible work arrangements in our Tallinn or Tartu office