GenAI Engineer on Vertex AI for Production ML (GCP)

Capgemini; Hartford (CT); Hybrid; USD 105.000 - 115.000; Vollzeit

Benefits dieser Stelle

Paid time off

Medical/dental/vision coverage

Retirement savings plan

Life and disability insurance

Employee assistance programs

Zusammenfassung

Capgemini is seeking an AI Engineer (Vertex AI) in Hartford, CT. Build, test and deploy GenAI solutions on Google Cloud for insurance clients, turning architecture into production-ready features.

You will own end-to-end delivery from prototype to production, collaborating with cross-functional teams in an Agile environment and applying guardrails for data privacy and safety while optimizing performance and cost.

Qualifikationen

• Experience building GenAI solutions on Google Cloud for production use.
• Hands-on with Gemini APIs and Vertex AI.
• Experience with RAG pipelines and vector stores.
• Proficient in Python and API design.

Aufgaben

• Build GenAI applications with Gemini models on Vertex AI.
• Design prompts and function calling for insurance documents.
• Build RAG pipelines with embeddings and Vector Search.
• Deploy services on Cloud Run or GKE with CI/CD and Apigee.
• Work in Agile teams with QA, UI and data teams.
• Apply guardrails for PII masking and safety.

Kenntnisse

Strong Python

Gemini API / Vertex AI SDK

RAG design

LangChain / LangGraph

GCP core services

REST API design

Tools

Gemini API / Vertex AI SDK

Vector search / BigQuery vector search

ADK

LangChain / LangGraph

Cloud Run / GKE

CI/CD

Jobbeschreibung

Capgemini is seeking an AI Engineer (Vertex AI) in Hartford, CT. Build, test and deploy GenAI solutions on Google Cloud for insurance clients, turning architecture into production-ready features.

You will own end-to-end delivery from prototype to production, collaborating with cross-functional teams in an Agile environment and applying guardrails for data privacy and safety while optimizing performance and cost.