
Senior AI Engineer
Resaro
full-time
Posted on:
Location Type: Hybrid
Location: Munich • Germany
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Job Level
Tech Stack
About the role
- Build, deploy, and maintain AI models and model-based features in production — from fine-tuning through serving and monitoring.
- Design and implement evaluation methodologies, test plans, and quality frameworks for AI systems (LLM, CV, RL).
- Build agentic AI systems using frameworks like CrewAI, LangGraph, LlamaIndex, and MCP.
- Create synthetic data generation pipelines, adversarial test cases, and benchmark datasets.
- Own model serving infrastructure, MLOps pipelines, and deployment automation.
- Research model behaviour, track global SOTA across domains, and translate findings into product improvements.
- Package and deploy AI capabilities for customer environments, including edge and air-gapped deployments.
- Contribute to the technical differentiation that makes Resaro's testing products industry-leading.
Requirements
- 3–7 years of experience in AI/ML engineering, with production deployment experience.
- Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, or similar).
- Demonstrated depth in at least one domain: LLM/NLP, computer vision, reinforcement learning, or synthetic data generation.
- Experience deploying models to production: model serving, API integration, monitoring, versioning.
- Understanding of evaluation methodology: experimental design, statistical rigour, benchmark creation.
- Ability to bridge research and engineering — read papers, prototype approaches, and ship production code.
- Clear communicator who can explain AI concepts to non-specialist colleagues and customers.
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI modelsmodel-based featuresevaluation methodologiestest plansquality frameworkssynthetic data generationMLOps pipelinesmodel servingAPI integrationPython
Soft Skills
clear communicatorability to bridge research and engineering