Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Tasks
- Build foundation model training and large language model inference
- Contribute to technical vision and long term roadmap for foundational AI systems
- Design, develop, test, deploy, and support AI software components
- Develop and apply guardrails for model reliability
- Evaluate models using experimentation and metrics
- Implement similarity search and vector database solutions
- Improve scalability cost latency and throughput for production AI systems
- Invent optimize LLM training and inference techniques
- Partner with cross-functional teams to deliver AI-powered products
- Support AI governance and observability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Azure | C# | C++ | Deep learning | Experimentation | Go | Google Cloud | Java | LLM Inference | Language Models | Large Language Models | Machine Learning | Model Evaluation | Nemo Guardrails | Observability | Optimization | PyTorch | Python | Scala | Similarity Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
Regions
Countries
States
Cities
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