Data Engineer

Hartford, CT, United States (On-site)

Contract (1 month 30 days)

Published 5 hours ago

api development

RAG Architecture

Cloud Deployment

python development

Google Gemini

prompt engineering

[[JD_HEADING:Monitoring & Optimization

DevOps & CI/CD

APIGee]]

Build test and deploy production GenAI solutions on Google Cloud for insurance clients document summarization intelligent intake underwriting and claims assistants and agentic workflows You turn architecture into working code and own features from prototype to production

Key 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 submissions ACORD forms COIs loss runs policies
• Build RAG pipelines chunking embeddings Vector Search Vertex AI Search grounding and citations
• Build agents with the Agent Development Kit ADK and deploy them 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 exposed through Apigee with CICD in Cloud Build
• Move and store data with BigQuery Cloud Storage PubSub and Dataflow
• Write evaluation sets and run quality latency and cost checks Gen AI evaluation service golden datasets
• guardrails PII masking with Sensitive Data Protection DLP safety filters IAM least privilege
• Work in Agile sprints with QA UI and data teams write clean tested documented code

Required skills:

• Strong Python Fast API or Flask async pytest
• Hands-on Gemini API Vertex AI SDK or Google Gen AI SDK
• RAG design and at least one vector store Vector Search Alloy DB pgvector BigQuery vector search
• LLM frameworks ADK LangChain or LangGraph
• GCP core Cloud Run Cloud Functions Cloud Storage BigQuery IAM Secret Manager
• REST API design Git Docker CICD
• Good written and verbal communication with onsite and client teams

Nice to have:

• Insurance domain PC ES specialty workers comp or financial services
• Document AI custom extractors OCR on scanned or handwritten forms
• Agent2Agent A2A protocol or Model Context Protocol MCP tool integration
• Model tuning supervised finetuning on Gemini and model monitoring
• Terraform Looker or Looker Studio dashboards

Certifications preferred:

• Google Cloud Professional Machine Learning Engineer
• Google Cloud Associate Cloud Engineer or Professional Cloud Developer
• Google Cloud Generative AI Leader good to have

The pay range that the employer in good faith reasonably expects to pay for this position is $37.45/hour - $58.51/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.