Engineering Manager - AI Product
Tasks
- Build embedding pipelines and retrieval systems
- Collaborate with product infrastructure security and backend teams
- Conduct performance reviews and technical mentoring
- Define technical vision and architecture for AI product
- Design implement and optimize production AI systems
- Establish evaluation and benchmarking frameworks
- Implement inference pipelines and model serving
- Lead mentor and develop AI engineering team
- Manage GPU infrastructure and versioning
- Oversee AI platform including model deployment and monitoring
Perks/Benefits
Skills/Tech-stack
AWS | Benchmarking | CI/CD | Containers | Context engineering | Cost Management | Distributed Systems | GPU Computing | Go | Inference Pipelines | Infrastructure as Code | Kubernetes | LLM | 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 Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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