AI Engineer (Generative AI & Google Ecosystem)

Job Title: AI Engineer (Generative AI & Google Ecosystem)
Location: SFO, CA (2-3days Hybrid)
Duration: 6months

Key Responsibilities

• Application Development: Design, build, and deploy generative AI applications powered by Google Gemini (Pro, Flash, and Ultra) and Vertex AI.
• Orchestration & Workflow Design: Utilize LangChain to build complex prompt pipelines and RAG systems. Design and implement stateful, multi-agent workflows and cyclical AI processes using LangGraph.
• Google Cloud Integration: Architect solutions utilizing the Google Cloud Platform (Google Cloud Platform) ecosystem, including Vertex AI Search and Conversation, BigQuery, Cloud Run, and Google Cloud Storage.
• Data Pipeline & RAG Engineering: Ingest, process, and chunk diverse data formats. Implement robust vector search architectures using Google Vertex AI Vector Search or open-source vector databases (e.g., Chroma, Milvus).
• Model Optimization: Employ advanced prompt engineering techniques, few-shot learning, and parameter-efficient fine-tuning (PEFT) to optimize Gemini''''s performance for specific industry use cases.
• 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.
• Collaboration: Work closely with product managers, data engineers, and front-end developers to seamlessly integrate AI features into our core products.