Senior AI Engineer

Ich bin J. R., Softwareentwickler mit zehn Jahren Projekterfahrung und Schwerpunkt auf AI Engineering.
Ich baue produktionsreife KI-Features, von LLM Chatbots und RAG/Knowledge-Systemen bis zu Agentic Workflows für Customer Support.

• Amazon Web Services (AWS)6 J.
• Docker
• Generative KI1 J.
• Git
• Java (allg.)9 J.
• Kotlin
• Mysql2 J.
• Postgresql3 J.
• Projektleitung / Teamleitung (IT)4 J.
• Python1 J.
• React (JavaScript library)2 J.
• Tensorflow

# AI Engineering (LLMs, RAG, LLMOps)

Production-ready AI features: knowledge assistants, RAG/knowledge systems, and automated workflows for customer support and internal operations
Quality you can measure: evaluation setups, test cases/regression checks, monitoring for output quality, latency, and cost
Safety: citations/grounding, input/output validation, policy checks, guardrails
Integration into real systems: APIs, data sources, permissions/authorization models, logging and observability

# Full-Stack Engineering (production-grade)

Extensive hands-on full-stack experience with Python, Java, Go, and React
Backend design focused on scalability, security, and maintainability (e.g., microservices, clean interfaces, robust error handling)
Designed and deployed systems for 100k+ monthly active users

# Cloud & Platform (AWS, Cloud-Native, Kubernetes)

Strong AWS and cloud-native experience. From infrastructure to reliable operations
Kubernetes deployments and operational practices (rollouts, observability, configuration, secrets, cost control)
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.

AI, LLMs, RAG, Python, Go, Java, AWS, React, Docker, Git, Python