Engineering Manager - AI Product
Tasks
- Architect AI platform for performance scalability reliability cost efficiency
- Build retrieval systems and orchestration
- Collaborate cross functional teams to deliver integrated solutions
- Conduct performance reviews coaching and technical mentoring
- Define AI product technical vision
- Design implement optimize production AI systems
- Develop model serving and inference pipelines
- Implement embedding pipelines and versioning
- Lead AI engineering team
- Monitor AI platform and evaluate quality
- Oversee GPU infrastructure and model deployment
Perks/Benefits
- Career growth
- European time zone collaboration
- Fully remote
- Hands-on technical leadership
- Technical architecture ownership
Skills/Tech-stack
AI quality | AI quality evaluation | AWS | Benchmarking | CI/CD | Containerization | Cost Management | Distributed Systems | GPU Computing | Inference Pipelines | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Latency optimization | Linux | Model APIs | Model Serving | Monitoring | Observability | Prompt engineering | Python | Quality evaluation | Regression testing | Retrieval systems | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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