24.08.2026 aktualisiert

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Senior AI Engineer

München, Deutschland
Weltweit
M. Sc. Computer Science
München, Deutschland
Weltweit
M. Sc. Computer Science

Über mich

Ich bin Jonathan Roesner, selbstständiger Softwareentwickler mit fast zehn Jahren Projekterfahrung und Schwerpunkt auf AI Engineering. Ich baue produktionsreife KI-Features, von LLM-gestützten Chatbots und RAG/Knowledge-Systemen bis zu Agentic Workflows für Customer Support und interne Prozesse.

Skills

JavaAPIsKünstliche IntelligenzAmazon Web ServicesArchitekturAutomatisierungCloud ComputingManagementrechnungFehlerbehandlungSkalierbarkeitInfrastrukturPythonWissensbasierte SystemeRisikoanalyseWorkflowsDaten- / DatensatzprotokollierungReact.jsLarge Language ModelsUnterstützung von KundenDeep LearningBackendKubernetesMachine Learning OperationsSicherheitsbestimmungenGolangMicroservices
AI Engineering (LLMs, RAG, LLMOps)
  1. Production-ready AI features: knowledge assistants, RAG/knowledge systems, and automated workflows for customer support and internal operations
  2. Quality you can measure: evaluation setups, test cases/regression checks, monitoring for output quality, latency, and cost
  3. Safety: citations/grounding, input/output validation, policy checks, guardrails
  4. Integration into real systems: APIs, data sources, permissions/authorization models, logging and observability
Full-Stack Engineering (production-grade)
  1. Extensive hands-on full-stack experience with Python, Java, Go, and React
  2. Backend design focused on scalability, security, and maintainability (e.g., microservices, clean interfaces, robust error handling)
  3. Designed and deployed systems for 100k+ monthly active users
Cloud & Platform (AWS, Cloud-Native, Kubernetes)
  1. Strong AWS and cloud-native experience. From infrastructure to reliable operations
  2. Kubernetes deployments and operational practices (rollouts, observability, configuration, secrets, cost control)
  3. Production readiness focus: security, monitoring, incident preparedness, and clear operational ownership

What my clients value
Clean architecture, measurable quality (evaluation + monitoring), and safety mechanisms that reduce common LLM risks. I build pragmatically, so solutions work reliably in production (cost, latency, maintainability), not just as a demo.
I support projects end-to-end: discovery and architecture, implementation and hardening, rollout, documentation, and handover.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2016

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

AI Engineer

Pharmaceutical Company

Pharma und Medizintechnik

1000-5000 Mitarbeiter

For this global pharmaceutical company I develop an AI agent that helps while conducting medical trials. The agent has access to over 1000 internal documents, how-to-guides and processes to help users planning a medical trial.
Technologies used:
- AWS
- AWS S3 Vector Storage
- AWS Neptune
- AWS RDS
- AWS Strands Agents
- ECS
- CDK

AI Engineer

Munich Start-Up

Transport und Logistik

10-50 Mitarbeiter

For a Munich based Start-Up I develop AI agents. The company already uses multiple different agents. For example, the customer support agent automatically responds to incoming support tickets in JIRA Serivce Desk by fetching data about the customer and the malfunctioning product from internal backend services, like user information or product information. Another agent is exposed as an MS-Teams bot that helps the C-Level find relevant data for decision making from their internal system like their ERP system.

Backend Developer

Nimmsta
Backend developer for a microservice-based B2B platform used by over 300 clients. Ensured inter-operability with legacy systems.

Frontend Developer

Caratec
Developed a WIFI-router dashboard with limited storage space. Used OpenWRT with JsonRPC and UCI for communication.

Backend Developer

Montessori Schule Landau
Developed a custom-made management solution for private schools, including functionality for tracking missing students, creating hourly reports, and registering students using QR-Codes.

AI Engineer

R&D Company

Internet und Informationstechnologie

50-250 Mitarbeiter

For an R&D company, I developed an AI agent that helps knowledge workers during the initial planning phase of a new project. The AI helps by asking project specific questions and from the answers generating a project plan that contains project descriptions, architecture diagrams, and cost estimations. The agent continually learns from past interactions and projects. Technologies used:
- Azure OpenAI services
- React Frontend
- Python & FastAPI Backend
- NetworkX
- ChromaDB
- MongoDB
- Kubernetes

Lead Backend Developer

Competition Company
Developed the backend architecture for their game 'Rennsport'. Created the microservice-architecture and organized a team of three developers in a fast-paced, rapidly changing start-up environment.

Senior Backend Developer

ProSiebenSat.1
Senior Backend Developer on the UAFL team. Developed the communication-middleware between internal and external services, focusing on high scalability and secure communication.

Fullstack Developer

QRCart
Designed and implemented an online reservation system managing store capacity. Created a multi-tenant system using Java microservices and a React frontend.

Freelance Developer

Freelance Developer
Worked as a freelance Software Developer for various companies and projects.

Backend Developer

kontextR
Helped develop a specialized Ad-Delivery platform serving context-relevant Ads directly into customer pages using web-widgets.

Deep Learning Researcher

DocuWare AG
Developed a table-recognition algorithm for structural extraction of information in invoices, using a neural network and OCR landmark detection.

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