AI Engineer
US - California - San Diego - HQ, United States
USD 98K-147K Senior-level Full Time
Tasks
- Analyze production logs metrics for quality latency cost
- Build Retrieval Augmented Generation systems
- Build production AI application features
- Call LLM APIs and integrate prompts
- Create evaluation and monitoring workflows
- Create internal tools and scripts
- Develop data ingestion and chunking pipelines
- Document work and communicate progress
- Generate embeddings and retrieval logic
- Implement LLM integrations
- Maintain evaluation datasets and regression checks
- Participate in incident response and root cause analysis
- Perform code reviews and design discussions
- Run model and prompt evaluation experiments
- Write modular tested documented Python code
Perks/Benefits
- Family planning benefits
- Health, dental, vision benefits
- Mentorship
- Onsite work environment
- Paid time off
- Retirement benefits
Skills/Tech-stack
AI vector search | AWS | Azure | CI/CD | Cloud Computing | Docker | Dspy | Embeddings | FastAPI | Flask | GCP | Git | Hugging Face | Hugging Face Transformers | JSON | Jupyter | LLM API | Langchain | Langsmith | Language Models | Large Language Models | Llamaindex | PGVector | Pinecone | Prompt engineering | Python | RAG | REST | REST APIs | Ragas | React | Retrieval-Augmented Generation | SQL | TypeScript | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search | Weaviate | Weights and Biases
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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