Senior AI / ML Engineer (LLMs)
Tasks
- Build RAG pipelines with embeddings
- Build hybrid machine learning systems
- Collaborate with product engineering and SMEs
- Design build deploy LLM features
- Develop fine tuning and prompt engineering solutions
- Evaluate AI system outputs with stakeholders
- Lead AI/ML projects end-to-end
- Make AI ML architectural decisions
- Optimize AI ML system performance in production
- Provide technical leadership and best practices
Perks/Benefits
- 401k matching
- Catered lunches
- Dental insurance
- Flexible schedule
- Happy hours
- Life insurance
- Medical insurance
- Monthly Technology Stipend
- Paid parental leave
- Paid time off
- Professional development stipend
- Sick leave
- Technology stipend
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
API Development | Embeddings | Fine Tuning | Language Models | Large Language Models | Machine Learning | Microservices | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Similarity Search | Vector Search
Education
N/A
Regions
Countries
States
Cities
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