GenAI Engineer: Vertex AI for Insurance Solutions

Capgemini; Hartford (CT); On-site; USD 105,000 - 115,000; Full time

Job summary

Capgemini is seeking a Senior GenAI Engineer to build, test and deploy production GenAI solutions on Google Cloud for insurance clients, including document summarization, intelligent intake, underwriting and claims assistants and agentic workflows.

You will design prompts, build robust pipelines, and integrate tools while working in Agile sprints with QA and data teams to deliver features from prototype to production.

Qualifications

• Strong Python (FastAPI or Flask, async, pytest) experience.
• Hands-on Gemini API / Vertex AI SDK experience.
• RAG design and at least one vector store experience.
• LLM frameworks: ADK, LangChain or LangGraph.

Responsibilities

• Build GenAI applications with Gemini models on Gemini Enterprise Agent Platform (Vertex AI).
• Design and tune prompts, structured outputs and function calling for insurance documents.
• Build RAG pipelines: chunking, embeddings, Vector Search / Vertex AI Search, grounding and citations.

Skills

Python

FastAPI/Flask

Gemini API

Vertex AI SDK

RAG design

Vector store

LangChain

LangGraph

ADK

CI/CD

Tools

Gemini API

Vertex AI SDK

ADK

LangChain

LangGraph

Job description

Capgemini is seeking a Senior GenAI Engineer to build, test and deploy production GenAI solutions on Google Cloud for insurance clients, including document summarization, intelligent intake, underwriting and claims assistants and agentic workflows.

You will design prompts, build robust pipelines, and integrate tools while working in Agile sprints with QA and data teams to deliver features from prototype to production.