GenAI Data Engineer: Cloud AI Pipelines & Agents

Capgemini; Hartford (CT); Presencial; USD 52.000 - 81.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision benefits

Retirement benefits

Descripción de la vacante

Capgemini is seeking a GenAI engineer to build and deploy scalable GenAI solutions for insurance clients. You will implement Gemini-based applications, design prompts, and build RAG pipelines to process documentation such as ACORD forms and COIs.

Your work includes integrating tools via ADK and deploying services on Cloud Run or GKE with CI/CD. You will collaborate with QA/UI/data teams in Agile sprints, ensuring code is clean, tested, and well-documented while applying data protection and

Formación

• Proficient in Python with web frameworks (FastAPI or Flask) and async testing (pytest).
• Hands-on experience with Gemini API, Vertex AI SDK or Google Gen AI SDK.
• Proficient in RAG design and at least one vector store (Vector Search, AlloyDB, pgvector, BigQuery vector search).
• Familiarity with LLM frameworks (ADK, LangChain or LangGraph).
• GCP core services: Cloud Run, Cloud Functions, Cloud Storage, BigQuery, IAM, Secret Manager.

Responsabilidades

• Build GenAI applications with Gemini models on Gemini Enterprise Agent Platform and Vertex AI.
• Design and tune prompts, structured outputs, and function calling for insurance docs and forms.
• Create RAG pipelines with embeddings, vector search, and grounding; enable citations.
• Develop agents using ADK and deploy on Agent Engine; integrate tools and APIs.
• Extract and classify documents with Document AI and Gemini multimodal input.
• Ship services on Cloud Run or GKE via Apigee with CI/CD in Cloud Build.
• Move and store data with BigQuery, Cloud Storage, Pub/Sub, Dataflow.
• Create evaluation datasets and run quality, latency, and cost checks.

Conocimientos

Python

FastAPI/Flask

Async testing

Gemini API

Vector stores

LLM frameworks

GCP services

Herramientas

Gemini API

Vertex AI SDK

LangChain/LangGraph

Descripción del empleo

Capgemini is seeking a GenAI engineer to build and deploy scalable GenAI solutions for insurance clients. You will implement Gemini-based applications, design prompts, and build RAG pipelines to process documentation such as ACORD forms and COIs.

Your work includes integrating tools via ADK and deploying services on Cloud Run or GKE with CI/CD. You will collaborate with QA/UI/data teams in Agile sprints, ensuring code is clean, tested, and well-documented while applying data protection and