Senior AI Engineer
Tasks
- Apply MLOps to serve and monitor models
- Architect and build generative AI applications
- Build RAG pipelines
- Build and manage agentic workflows
- Collaborate with customers to implement AI features
- Implement semantic search systems
- Lead LLM and embedding fine tuning
- Translate business requirements into AI architectures
Perks/Benefits
- 401k employer match
- Bereavement leave
- Employee referral bonus
- Health insurance
- Paid Holidays
- Paid leave
- Parental leave
- Sick leave
Skills/Tech-stack
AI vector search | Fine Tuning | GPT-4 | Google Cloud | Google Gemini | Langchain | Llama | Llamaindex | MLOps | Machine Learning | PGVector | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Shell Scripting | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search
Roles
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