Engineering Manager – AI Engineering
Tasks
- Advance MLOps and LLMOps
- Allocate and manage multi GPU fleet
- Architect and scale AI platform
- Build LLM powered agents and agent workflows
- Drive distributed training
- Implement quantization
- Lead and mentor AI engineering team
- Manage cross region model inference
- Manage hiring and team growth
- Optimize memory and IO bandwidth
- Optimize model inference performance
- Optimize open weight LLMs
- Partner with product data science and platform teams
- Plan sprints manage performance and OKRs
- Scale data science productivity workflows
- Set technical direction and engineering standards
- Tune GPU kernels
- Tune KV cache and serving engine
Perks/Benefits
- N/A
Skills/Tech-stack
Autoscaling | C++ | CUDA | DeepSpeed | Distributed Training | FSDP | Flink | GKE | GPU Allocation | GPU scheduling | Go | IO optimization | Incident Response | KV cache | Kubernetes | LLMOps | MLOps | Megatron | Memory Optimization | Observability | PyTorch | Python | Quantization | Ray | Rust | SGLang | SLO | Spark | Speculative decoding | Streaming Data | TensorRT-LLM | VLLM
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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