Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
- designing and developing AI agents for operations: Incident Triage, Dependency Analysis, Runbook Interpreter, Change Risk,
- building and deploying the AI KT Agent that ingests codebase snapshots, IaC, and 12 months of incident history,
- implementing the Agent Maturity Gate framework: OBSERVE, RECOMMEND, CONTROLLED EXECUTE, LIMITED AUTONOMY,
- developing ML models for alert correlation, anomaly detection, and root-cause prediction,
- training models on operational data within client own repositories (full IP portability),
- building confidence scoring systems: agents only advance maturity gates when data-validated,
- deploying agents using Xebia ACE (Anthropic Claude Enterprise) platform across 4 regional instances,
- maintaining full audit trails for all agent decisions and recommendations,
- collaborating with SRE and Automation teams to integrate agents into operational workflows,
- measuring and reporting agent effectiveness: accuracy, false positive rates, human override frequency.
- 3-6 years of experience in ML engineering, AIOps, or applied AI,
- strong Python skills with ML frameworks (scikit-learn, TensorFlow, PyTorch),
- experience with NLP and/or LLM integration (RAG architectures, prompt engineering, fine-tuning),
- understanding of MLOps: model deployment, monitoring, versioning, CI/CD for ML,
- experience with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI),
- knowledge of observability data structures: metrics, logs, traces, events Familiarity with time-series analysis and anomaly detection techniques,
- strong English communication skills for cross-functional collaboration.
Work from the European Union region and a work permit are required.
Nice to have:- experience with LLM-based agent architectures (LangChain, AutoGen, or similar),
- familiarity with Anthropic Claude or OpenAI APIs,
- background in IT operations or SRE (understanding of incident workflows),
- experience with graph-based dependency mapping,
- knowledge of change risk prediction and automated testing frameworks.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- 3-6 years of experience in ML engineering, AIOps, or applied AI
- strong Python skills with ML frameworks (scikit-learn, TensorFlow, PyTorch)
- experience with NLP and/or LLM integration
- understanding of MLOps
- experience with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI)
- strong English communication skills for cross-functional collaboration
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
-
Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
-
Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
-
Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
