Engineering Manager - AI Product
Tasks
- Architect AI platform for performance scalability reliability cost efficiency
- Build embedding pipelines and evaluation frameworks
- Conduct performance reviews and technical mentoring
- Coordinate with product infrastructure security and backend teams
- Define AI product technical vision
- Design implement optimize production AI systems
- Lead and mentor AI engineers
- Manage model serving inference pipelines and retrieval systems
- Monitor and evaluate AI quality and system reliability
- Oversee AI platform GPU infrastructure model deployment and versioning
- Translate objectives into execution plans and deliver projects
Perks/Benefits
Skills/Tech-stack
AWS | Artificial Intelligence | Benchmarking | CI/CD | Containers | Context engineering | Cost Management | Distributed Systems | GPU Computing | Go | Inference Pipelines | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Latency optimization | Linux | Machine Learning | Model Serving | Monitoring | Networking | Observability | Prompt engineering | Python | Regression testing | Retrieval systems | Retrieval-Augmented Generation | Rust | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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