Must-Have
Strong Python skills; experience with Databricks (PySpark, Notebooks, Unity Catalog).
Practical experience with LangChain & LangGraph.
Hands-on MLFlow experience (training, tracking, endpoints).
Good SQL knowledge (MySQL and Databricks SQL).
Understanding of LLM guardrails and multi-agent systems.
Speaking and writing in English (B2)
Requirements
Nice-to-Have
Experience evaluating or fine-tuning LLMs (Llama, GPT, Gemini).
Familiarity with NLQ systems, AI Assistants, and Marketing Mix Modelling.
Knowledge of vector databases, NestJS/Prisma, or mixed-model architectures.
Experience reducing AI/ML technical debt or working with Copilot/Gemini-in-IDE.
Experience writing tests and using GitHub workflows (CI/CD).
Personal Skills
Proactive, fast-learning, detail-oriented.
Strong analytical and problem-solving skills.
Ability to work independently and in distributed teams.
Benefits
Work on modern AI products with international experts.
Competitive compensation in USD (B2B or employment).
Paid leave, workspace & software compensation.
Engineering-driven culture with minimal bureaucracy.
Remote-first.