4 days ago
Base Salary
$105k - $115k/yr
Responsibilities
- Build, test, deploy, and own production GenAI applications for insurance use cases from prototype through production.
- Develop Gemini-based applications on the Gemini Enterprise Agent Platform and Vertex AI.
- Design and tune prompts, structured outputs, and function calling for insurance documents.
- Build RAG pipelines using chunking, embeddings, vector search, grounding, and citations.
- Develop 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 quality, latency, and cost using GenAI evaluation services and golden datasets.
- Apply guardrails including PII masking, safety filters, and least-privilege IAM.
- Write clean, tested, and documented code while collaborating with QA, UI, data, and client teams.
Requirements
- Strong Python experience with FastAPI or Flask, asynchronous programming, and pytest.
- Hands-on experience with the Gemini API, Vertex AI SDK, or Google Gen AI SDK.
- Experience designing RAG systems and using at least one vector store such as Vector Search, AlloyDB pgvector, or BigQuery vector search.
- Experience with an LLM framework such as ADK, LangChain, or LangGraph.
- Knowledge of GCP services including Cloud Run, Cloud Functions, Cloud Storage, BigQuery, IAM, and Secret Manager.
- Experience with REST API design, Git, Docker, and CI/CD.
- Good written and verbal communication skills for onsite and client collaboration.
- Insurance or financial-services experience is preferred.
- Experience with Document AI custom extractors and OCR for scanned or handwritten forms is preferred.
- Experience with Agent2Agent protocol or Model Context Protocol integrations is preferred.
- Model tuning, supervised fine-tuning on Gemini, and model monitoring experience are preferred.
- Terraform and Looker or Looker Studio experience are preferred.
- Google Cloud Professional Machine Learning Engineer, Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Developer, or Google Cloud Generative AI Leader certification is preferred.
Benefits
- Base compensation range is $105,000-$115,000 for the posted Hartford, CT location.
- Paid time off may include 12-25 vacation days by employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage are available, subject to local policy and eligibility.
- Retirement savings plans such as a U.S. 401(k) are available, subject to local policy and eligibility.
- Life and disability insurance and employee assistance programs are available.
- Additional benefits may be provided under local policy and eligibility.
- Regular full-time employees are eligible for Capgemini's comprehensive benefits package.
Tech Stack
Categories
About Capgemini
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.