LLMOps/AI Platform Engineer

• 3+ years of experience in MLOps, DevOps, platform engineering, ML engineering, software engineering, or a related role
• Good proficiency in Python and familiarity with production software engineering practices
• Hands-on experience with cloud environments, preferably Microsoft Azure
• Experience with data or AI platforms such as Databricks, Microsoft Fabric, Azure Machine Learning, or similar technologies
• Experience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tooling
• Understanding of deployment, monitoring, logging, versioning, and release processes for AI, ML, or data systems
• Experience working with at least one GenAI pattern, such as LLM applications, RAG, conversational AI, or AI agents
• Familiarity with prompt management, model configuration, traceability, or observability practices for GenAI systems
• Understanding of enterprise security concepts, including role-based access control, audit trails, secrets management, and privacy safeguards
• Familiarity with embeddings, vector databases, indexing, metadata management, or retrieval techniques
• Experience working with structured or unstructured data
• Strong analytical and problem-solving skills
• Ability to collaborate effectively within multidisciplinary delivery teams
• Good communication skills and willingness to develop client-facing and consulting capabilities

*Candidates are not expected to have experience with every technology listed. We value strong engineering fundamentals, practical cloud experience, and the ability to learn and apply new technologies

Nice to have:

• Experience delivering AI, data, or cloud solutions in enterprise, consulting, or regulated environments
• Familiarity with enterprise data governance tools and patterns, such as Databricks Unity Catalog
• Experience supporting conversational or multilingual AI solutions
• Familiarity with integrations involving custom web applications, APIs, or Microsoft Teams
• Exposure to frontend integration patterns
• Familiarity with trunk-based development and modern automated testing practices
• Understanding of AI safety practices, including guardrails, output validation, evaluation, and hallucination mitigation
• Exposure to infrastructure as code, containerization, or Kubernetes

Jacobs is looking for an experienced LLMOps/AI Platform Enginee r to join our team. In this role, you will help design, build, and operationalize enterprise-grade AI and GenAI solutions in cloud environments, with a strong focus on scalability, governance, observability, and production readiness. You will work across modern AI platforms and delivery teams to enable secure, reliable, and maintainable multi-agent, RAG, and conversational AI solutions that integrate with enterprise data landscapes and support real business outcomes.

We offer:

• Rewarding employment: Full-time employment with a salary that matches your qualifications
  
• Flexible hours: Start your day anytime between 7:30 and 10:00 AM
• Comprehensive benefits: Including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system
• Co-financed holidays: Enjoy "Wczasy pod Gruszą" for a well-deserved break
• Global projects: Engage in exciting international projects
• Inclusive networks: Join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
• Continuous learning: Participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
• Language courses: Enhance your skills with courses in English, German, and Polish

We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs.

As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.

If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team r Wyświetl e-mail na nofluffjobs.com

,[Implement and improve MLOps and LLMOps practices for enterprise AI and GenAI solutions in cloud environments, Build and maintain CI/CD pipelines across development, UAT, and production environments, Develop monitoring, logging, observability, and operational dashboards covering system health, usage, model performance, and agent activity, Support versioning, traceability, and controlled management of prompts, configurations, models, and AI components, Contribute to the productionization of multi-agent, RAG, and conversational AI solutions, Integrate AI solutions with structured and unstructured enterprise data sources, Collaborate with AI engineers, data engineers, software engineers, architects, and product teams throughout the delivery lifecycle, Implement security and governance controls, including access management, auditability, privacy safeguards, and output validation, Contribute to automated testing, smoke testing, integration testing, and performance validation, Support backend and platform engineering activities using Python and cloud-native services, Participate in technical discussions with clients and internal stakeholders regarding platform operations, governance, deployment, and solution handover, Help improve engineering standards, automation, tooling, documentation, and delivery practices] Requirements: Python, Data engineering, MLOps, Machine learning, Cloud, Databricks, Microsoft Fabric, CI/CD, LLM, RAG, AI, Azure, Kubernetes Tools: Jira, Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Language courses, Mentoring program, Career growth, Work-life balance, Flexible working hours, Trainings, Life insurance, Modern office.