Lead AI Platform Engineer bridging AI workloads and production infrastructure focused on NVIDIA stack optimizations. Design and implement scalable AI systems in hybrid work environment.
About the role
- Senior Software Engineer developing AI-driven applications for enterprise revenue systems. Leading design and technical direction for complex AI systems in a supportive environment.
Responsibilities
- Architect and lead the design of complex AI systems
- Own end-to-end delivery of AI features
- Drive technical direction for AI platform components
- Build high-scale data pipelines
- Mentor SDE-II and junior engineers
- Lead evaluation and safety initiatives
- Collaborate cross-functionally with other teams
- Optimize production systems for performance, cost, and reliability
Requirements
- 5+ years of software engineering experience
- 2+ years building production LLM/GenAI systems at scale
- Expert-level Python skills
- Deep hands-on experience with ML/LLM frameworks (PyTorch, Hugging Face, etc.)
- Proven experience building and scaling vector search systems (Elasticsearch, Pinecone, etc.)
- Strong system design skills (microservices, distributed systems)
- Production experience with Kubernetes, Docker, and cloud infrastructure (AWS preferred)
- Expertise in LLM optimization
- Track record of technical leadership
- Excellent communication skills
Benefits
- Equal Opportunity Employer
- Inclusive workplace
- AI Notetaker in interviews
- Supportive workplace culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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