25.10.2026 aktualisiert

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Senior AI Engineer | Python, LLMs, RAG & Agents | Azure OpenAI, Databricks & Production AI Solutions

Zürich, Schweiz
Weltweit
MSc in Computer Science
Zürich, Schweiz
Weltweit
MSc in Computer Science

Profilanlagen

Bauer_Stefan_CV_Python_LLM_Databricks.pdf

Skills

OAuth 2.0AI AgentsRAGClean ArchitectureGitHub ActionsMLflowTailwind CSSOpenTelemetryLLMVitestAzure KubernetesHelmAzure DatabricksViteAzure OpenAIDelta LakeAzure DevOpsLangChainKubernetes-SicherheitKünstliche IntelligenzApache AirflowC++Cloud-SicherheitData ArchitectureDjangoElasticsearchGitHubGraphdatenbankPythonPostgreSQLMachine LearningMySQLOAuthQt Modeling Language (QML)RedisOpenid ConnectAzure Active DirectoryAzure Machine LearningAzure Data LakeSQLSqlalchemyTortoisesvnDocker ContainerAzure AutomationModel Driven ArchitectureAzure Data FactoryPyTorchReact.jsFlaskGrafanaPrompt EngineeringApache SparkMysql DatabasesModell-ValidierungGenerative AIInfrastructure as Code (IaC)FastAPIpandasPytestScikit-learnKubernetesPlaywrightBicepGraphQLMachine Learning OperationsCeleryDomain Driven DevelopmentApi DesignRestful ApisTerraformAzure Data AnalyticsDomain Driven DesignRefactoringArtificial Intelligence Markup Language (AIML)DockerDatabricks
I'm a Senior AI engineer with over 20 years in software development and more than 15 years with Python. I take AI products from prototype to secure, maintainable and scalable production, and I take responsibility for their quality and operation.

I build full-stack AI applications with Python, FastAPI and Pydantic on the backend and React with TypeScript on the frontend, and develop RAG pipelines with embeddings, vector search and retrieval, as well as AI agents and multi-agent workflows with tool calling on Azure OpenAI and Databricks. For data and MLOps I work with Spark, Delta Lake, Unity Catalog, Mosaic AI and MLflow, including versioning, evaluation and monitoring of models, prompts and agents. I set up CI/CD with GitHub Actions and Azure DevOps, infrastructure as code with Terraform, end-to-end tests with Playwright and observability with OpenTelemetry, and design secure architectures with OAuth2, RBAC, managed identities, private endpoints and PII handling.

I work closely with product, UX, data, cloud and security teams, explain technical decisions in a way business stakeholders can follow, write technical documentation and mentor junior engineers.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2012

Sprachen

DeutschMutterspracheEnglischverhandlungssicherFranzösischgut

Projekthistorie

Lead AI Engineer

Internet und Informationstechnologie

50-250 Mitarbeiter

HR & payroll AI assistant | 2025–present
Built a full-stack product with Python, FastAPI, Pydantic, React and TypeScript. Implemented RAG with pgvector, hybrid search and reranking; async ingestion and REST/GraphQL APIs. Added tenant isolation, OAuth2/OIDC, JWT, RBAC and PII masking. Set up Playwright tests, GitHub Actions, Kubernetes/Helm deployments, OpenTelemetry/Grafana monitoring and answer evaluation. Mentored junior engineers. Bauer_Stefan_CV_Python_LLM_Data…
Pharmaceutical document processing | 2023–2025
Built AI agents and multi-agent workflows for regulatory and quality documents, with tool calling and structured outputs. Implemented RAG using Azure OpenAI and Databricks Vector Search, plus Python/SQL/Spark/Delta Lake pipelines. Managed model, prompt and agent evaluation and deployment with Mosaic AI and MLflow. Secured infrastructure with Unity Catalog, Key Vault and RBAC; automated delivery with Azure DevOps and Terraform. Bauer_Stefan_CV_Python_LLM_Data…
Industrial procurement forecasting | 2022–2023
Developed material demand models from ERP and supplier data using Pandas and scikit-learn. Used MLflow for model tracking and deployment, FastAPI for scoring, and Azure pipelines for procurement reporting. Bauer_Stefan_CV_Python_LLM_Data…

Lead Data & ML Engineer |

Konsumgüter und Handel

250-500 Mitarbeiter

Data platform and forecasting models for trading teams: market and freight data pipelines with Spark and Airflow, price and volume forecasting, migration to Databricks on Azure, MLflow for the model lifecycle, lead of a team of four engineers.

Tech: Python, Spark, Airflow, Databricks, MLflow, Pandas, scikit-learn, PostgreSQL, Azure, Docker

Senior Python Developer

Medien und Verlage

500-1000 Mitarbeiter

Web platforms and content APIs with Django and Flask, content recommendations based on reading behaviour, asynchronous jobs with Celery, search with Elasticsearch, React frontends from 2015.

Tech: Python, Django, Flask, Celery, PostgreSQL, Elasticsearch, Redis, JavaScript, React

Software Engineer

Pharma und Medizintechnik

250-500 Mitarbeiter

Device software in C++, test automation and Python tools for test benches and measurement data evaluation.

Tech: C++, Python, Qt, SQL, SVN

Zertifikate

Databricks Generative AI Engineer Associate

Databricks

2025

Azure AI Engineer Associate (AI-102)

Microsoft

2024

Data Engineer Professional

Databricks

2023

Terraform Associate

HashiCorp

2022


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