Capgemini

AI Engineer (Vertex AI)

Capgemini
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2 days ago
New York, NY, USAMid Level
H1B sponsor

Base Salary

$105k - $115k/yr

Responsibilities

  • Build, test, and deploy production GenAI applications with Gemini models on Vertex AI for insurance use cases.
  • Design prompts, structured outputs, function calling, RAG pipelines, embeddings, grounding, and citations for insurance documents.
  • Build agents with the Agent Development Kit, deploy them on Agent Engine, and integrate tools and APIs.
  • Extract and classify documents using Document AI and Gemini multimodal input.
  • Deploy services on Cloud Run or GKE through Apigee with CI/CD in Cloud Build.
  • Move and store data using BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
  • Create evaluation sets and assess GenAI quality, latency, and cost.
  • Apply guardrails including PII masking, safety filters, and least-privilege IAM.
  • Collaborate with QA, UI, and data teams in Agile sprints while writing clean, tested, and documented code.

Requirements

  • Strong Python skills with FastAPI or Flask, asynchronous programming, and pytest.
  • Hands-on experience with the Gemini API, Vertex AI SDK, or Google Gen AI SDK.
  • RAG design experience and familiarity with at least one vector store, such as Vector Search, AlloyDB pgvector, or BigQuery vector search.
  • Experience with ADK, LangChain, or LangGraph.
  • Knowledge of GCP services including Cloud Run, Cloud Functions, Cloud Storage, BigQuery, IAM, and Secret Manager.
  • Experience designing REST APIs and using Git, Docker, and CI/CD.
  • Insurance or financial-services experience is preferred.
  • Document AI custom extractor and OCR experience for scanned or handwritten forms is preferred.
  • A2A or MCP tool integration experience is preferred.
  • Model tuning, supervised fine-tuning on Gemini, and model monitoring experience are preferred.
  • Terraform and Looker or Looker Studio experience are preferred.
  • Preferred certifications include Google Cloud Professional Machine Learning Engineer, Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Developer, or Google Cloud Generative AI Leader.

Benefits

  • Hartford, Connecticut location with three days per week in the office.
  • Comprehensive benefits package for regular, full-time employees, including paid time off, company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
  • Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance and employee assistance programs.

Tech Stack

DockerFastAPIFlaskGitGoogle BigQueryLooker StudiopytestPythonTerraform

Categories

Capgemini

About Capgemini

10,000+ employees

Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.

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