About Xomnia
Xomnia uses data and AI to tackle real-world challenges. Its AI work spans energy and utilities, finance and insurance, and AI for Good, with production GenAI applications across customer service use cases.
Responsibilities
•Take models from experiment to production, including feature engineering, data pipelines, model serving, monitoring, and CI/CD
•Build production-ready GenAI applications with retrieval, agentic workflows, evaluation sets, guardrails, and client-compatible cost and latency budgets
•Choose the right tool for each problem, including LLMs, forecasting models, recommenders, or anomaly detectors
•Deploy on Azure, AWS, or GCP, using managed AI platforms such as AWS Bedrock or Microsoft AI Foundry where appropriate
•Work with client teams to translate business needs into buildable solutions and explain trade-offs
•Help clients build their own capabilities through code reviews, pairing, and engineering practices that last beyond the assignment
•Share learnings internally through Learning Labs, Xpert sessions, and mentoring
Requirements
•3+ years of experience in ML engineering, AI engineering, data science, or a comparable role
•Strong Python skills and solid command of at least one of scikit-learn, PyTorch, or TensorFlow
•Hands-on experience with LLMs beyond API calls, including RAG, vector stores, agent frameworks such as LangChain or LlamaIndex, and evaluating output quality
•Comfortable with production tooling: MLflow, Airflow, Docker, Kubernetes, and Databricks
•Degree in Computer Science, AI, Data Science, or a related technical field
•A consulting mindset: listen first, ask difficult questions early, and turn vague needs into concrete solutions
•Fluent in English and/or Dutch
Conditions
•€5,000 annual development budget
•25 vacation days
•Pension
•Flexible working location
•Option to take unpaid leave
•Annual company trips
•Stock Appreciation Rights
•Salary is based on 40 hours and excludes vacation allowance
•Healthy lunch every day and a bar
