Criticalriverinc
AI Engineer (Generative AI & Google Ecosystem)
San Francisco, California, USA · Contract
Sponsorship not specifiedDetected 50 days ago
BigQueryVector DatabasesGCPCloud PlatformsMachine LearningLLMsRAGLLMOpsMLOpsCollaboration
About the role
- Data Pipeline & RAG Engineering: Ingest, process, and chunk diverse data formats.
- Evaluation & MLOps: Establish rigorous evaluation metrics for LLM outputs (accuracy, latency, hallucination rates).
- Deploy models using modern LLMOps practices to ensure observability, scalability, and security.
Responsibilities
- Design, build, and deploy generative AI applications powered by Google Gemini (Pro, Flash, and Ultra) and Vertex AI.
- Utilize LangChain to build complex prompt pipelines and RAG systems.
- Design and implement stateful, multi-agent workflows and cyclical AI processes using LangGraph.
Skills
- Ingest, process, and chunk diverse data formats.
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