Director Engineering - AI software stack
Bangalore, India
INR 3000K-4000K (estimate) Executive-level Full Time
Tasks
- Build mentor and scale AI ML teams
- Communicate testing and debugging results
- Define AI ML technology roadmap
- Define career growth paths
- Drive adoption of Agentic AI
- Drive adoption of LLMs
- Drive adoption of multimodal AI
- Foster culture of ownership and accountability
- Handle model onboarding
- Lead system level problem triage
- Manage AI lifecycle
- Meet performance targets power latency memory accuracy
- Optimize models with batching
- Optimize models with compression
- Optimize models with quantization
- Oversee end to end AI system delivery
- Perform model optimization
- Set technical direction
- Translate AI workload requirements to hardware capabilities
- Tune KV cache
- Uphold engineering excellence
- Use mixed precision
- Validate AI models
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Agentic AI | Batching | C# | C++ | CPU | Cache Tuning | DSP | Design Patterns | Edge Deployment | Embedded Linux | GPU | Inference Optimization | Java | KV Cache Tuning | KV cache | LLM | Machine Learning | Mixed Precision | Model Compression | Multimodal AI | NPU | ONNX | PyTorch | Python | QNX | Quantization | Software Architecture | TensorFlow | Throughput Optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Software Engineer | Director | Director, Engineering | Engineer | Engineering | Software Engineer
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