AI Engineer
Tasks
- Build AI agents and tool calling workflows
- Build generative AI applications with LLMs
- Create semantic search and information retrieval systems
- Deploy containerized AI applications on GCP
- Develop RAG pipelines and vector retrieval systems
- Develop scalable backend services and REST APIs
- Evaluate model performance
- Implement AI monitoring security and governance
- Implement enterprise RAG for production use
- Process unstructured content into searchable knowledge
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Employee assistance program
- Health spending account
- Life insurance
- Long-term disability
- Medical insurance
- Paid time off
- Remote work
- Short-term disability
- Transportation benefits
- Vision insurance
Skills/Tech-stack
Cloud Run | Cloud platform | Docker | FastAPI | GKE | Gemini | Generative AI | Google Cloud | Google Cloud Platform | Information Retrieval | LLM | Microservices | Python | REST APIs | Retrieval-Augmented Generation | Semantic Embeddings | Semantic Search | Vector Databases | Vector Search | Vertex AI
Education
N/A
Roles
Regions
Countries
States
Cities
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