GenAI and LLM Operations Engineer

We're looking for a GenAI and LLM Operations Engineer for the AI team at an international life sciences company. The role focuses on deploying GenAI and LLM solutions in global supply chain – from ontology design to model operationalization, automation, and predictive analytics.

• 5-7 years in GenAI/LLM ops, fine-tuning, and production deployment.
• Hands-on with LangChain, Python pipelines, RAG, Text-to-SQL, LLM agents.
• Experience with cloud platforms (AWS/GCP/Azure), BigQuery, Docker.
• Strong software engineering: APIs, testing, version control.
• English B2+ (spoken/written).

Nice to have:

• Experiment tracking (MLflow/Opik).

• Design ontologies, semantic standards, and data interoperability for supply chain.
• Collaborate with Data Engineering, BI, and Data Science teams on LLM models.
• Implement governance, best practices for LLM ops, fine-tuning, and ethical AI (MLflow/Opik a plus).
• Build LLM agentic systems with LangChain, Python pipelines, Gemini/multimodal AI integrations.
• Work with cloud ML (AWS/GCP/Azure), BigQuery, data warehousing, and software engineering (git, QC).
• Monitor AI trends and translate them into supply chain strategies.

At KUBO, we welcome candidates of all ages, backgrounds, identities, family constellations, health situations, and ways of thinking and interacting with the world. We value authenticity and are committed to creating a fair and inclusive process for everyone.