Job Summary
Job Description: Senior AI Engineer (5+ YOE)
Role OverviewWe are seeking a Senior AI Engineer with extensive experience in Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem.Technical QualificationsGenerative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK).RAG Architecture: Proven expertise in designing RAG systems.Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies.Data Structures & Storage: Experience of relational database architecture and enterprise data schema management.Key ResponsibilitiesArchitect and deliver a stateful, multi-agent AI framework leveraging the Google Agent Development Kit (ADK), establishing an orchestration layer to route user intent to specialized sub-agents.Develop and maintain secure RAG pipelines, including automated data ingestion from source (via Python/FastAPI), data sanitization, and vector/SQL-based retrieval to ensure accurate, context-driven, hallucination-free outputs.Fine-tune and optimize large language model performanceData Pipeline & Tooling: Construct data pipelines utilizing BigQuery and REST APIs.
Key Responsibilities
Job Description: Senior AI Engineer (5+ YOE)
Role OverviewWe are seeking a Senior AI Engineer with extensive experience in Generative AI, Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem.Technical QualificationsGenerative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK).RAG Architecture: Proven expertise in designing RAG systems.Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies.Data Structures & Storage: Experience of relational database architecture and enterprise data schema management.Key ResponsibilitiesArchitect and deliver a stateful, multi-agent AI framework leveraging the Google Agent Development Kit (ADK), establishing an orchestration layer to route user intent to specialized sub-agents.Develop and maintain secure RAG pipelines, including automated data ingestion from source (via Python/FastAPI), data sanitization, and vector/SQL-based retrieval to ensure accurate, context-driven, hallucination-free outputs.Fine-tune and optimize large language model performanceData Pipeline & Tooling: Construct data pipelines utilizing BigQuery and REST APIs.