
AI Engineer
2 weeks ago
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
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