Engineering Manager - AI Product
Tasks
- Architect scalable reliable cost efficient AI systems
- Build model serving and inference pipelines
- Collaborate with product infrastructure security and backend teams
- Define AI product technical vision
- Deploy and version machine learning models
- Design implement and optimize production AI systems
- Develop retrieval systems and evaluation frameworks
- Lead and mentor AI engineers
- Oversee GPU infrastructure and monitoring
- Translate objectives into execution plans
Perks/Benefits
Skills/Tech-stack
AI Model Deployment | AI model | AWS | Benchmarking | CI/CD | Containers | Context engineering | Distributed Systems | GPU Computing | Go | Inference Pipelines | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Latency optimization | Linux | Machine Learning | Model Deployment | Model Serving | Monitoring | Networking | Observability | Prompt engineering | Python | Regression testing | Retrieval systems | Rust | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Engineering | Engineering Manager | Manager
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