AI Engineer

Why this role exists

Kesko Senukai is the Baltic leader in omnichannel DIY, home-improvement and electronics retail. We serve millions of customers through six e-commerce brands and 90+ stores and move 155 000+ SKUs through one of the region’s largest logistics networks.
Data and Generative AI are the next accelerators of that growth, powering everything from real-time demand forecasting to multilingual product-content generation.
To make this happen, we’re adding an AI Engineer who can turn cutting-edge models into production-grade services.

Your responsibilities will include

Design, train and deploy predictive & generative models for: dynamic pricing & demand forecasting, vector-search product recommendation, multilingual product-content generation (LLM-powered), RAG-based customer-service chat and in-store associate assistants,computer-vision shelf & pallet analytics;

Own the ML & GenAI lifecycle – data ingestion, feature & prompt engineering, experiment tracking, CI/CD, automated retraining/refresh.

Build reliable GenAI pipelines – orchestrate LLMs with LangChain/LlamaIndex, manage embeddings in Pinecone or AlloyDB Vector, and deploy via Vertex AI or Azure OpenAI.

Embed AI into the business – partner with category managers, UX designers and software engineers to ship measurable impact every sprint.

Measure & iterate – design A/B tests, production-metrics dashboards and post-launch model-health monitoring.

Mentor & evangelise – codify best practice, review PRs, lead internal workshops on MLOps and GenAI security/governance.

We are looking for

2+ years professional Python experience; solid grounding in supervised and unsupervised learning; proficient with scikit-learn, PyTorch or TensorFlow.

Practical experience fine-tuning or parameter-efficient-tuning (LoRA/QLoRA) models such as Llama-2/3, Mistral or GPT-3.5/4; strong prompt-engineering for multilingual tasks; hands-on with LangChain/LlamaIndex and vector databases (Pinecone, Milvus, pgvector); knowledge of safety, bias mitigation and RAG patterns.

Proven record of shipping at least one GenAI-powered feature to real users; comfortable managing latency, cost control and alignment monitoring in production.

Experience with Vertex AI, Azure ML or similar; Docker/Kubernetes; MLflow or SageMaker; infrastructure-as-code (Terraform, Ansible); CI/CD (GitHub Actions or equivalent).

Proficient in SQL and Spark/Pandas; built reproducible pipelines orchestrated with Airflow, Prefect or Dagster.

Version control with Git, automated testing, code reviews, clean architecture and thorough documentation.

Ability to translate retail business challenges into data-driven solutions and articulate technical trade-offs to non-technical stakeholders.

Fluent in English

Nice-to-haves

Retail, supply-chain or pricing-optimisation background;

Experience building computer-vision pipelines with YOLOv8 or Detectron;

What we offer

Impact at scale – your models influence €1.2 billion+ in annual revenue and thousands of colleagues.

Modern GenAI stack – GCP (BigQuery, Vertex AI, AlloyDB Vector), Azure OpenAI, Kafka, dbt, Snowflake, Pinecone.

Continuous learning – dedicated budget for conferences, online courses, certifications; monthly AI guild sessions.

Total rewards – competitive base salary, annual bonus, private health insurance, extra vacation days, employee discount across all Kesko Senukai retail brands.

Inclusive culture – we live our values of customer focus, continuous improvement, cooperation and involvement every day.

Salary

3300–5500 €/mon. gross
Before tax deduction. The final offer will depend on the experience and competencies of the selected candidate. Overall remuneration package consists of the salary together with other benefits.

We are an international multi-channel retail group, operating a network of 94 own and franchise-based stores and 6 online shops in the Baltic States.