UR
Early-Career AI Engineers – Full-Stack, Data Science, Infrastructure/DevOps (10 openings)
United RiskNew York, NYposted 2d ago
- PayUSD / yr
- $100k – 120k
- Where
- New York, NY
- Posted
- Nov 2
- 2 days ago
- Type
- Full-time
- Setup
- Hybrid
EMPLOYMENT
Full-time
COMPENSATION
$100k - 120k/yr
ARRANGEMENT
Hybrid
At a glance
Early-career engineers will build AI underwriting tools across full-stack applications, data science, and infrastructure—from LLM extraction and RAG to Azure deployment and GPU-hosted models.
Summarized by AI from the original posting
What you'll do
- Build full-stack AI applications and agentic workflows for underwriters
- Develop LLM document extraction with human review
- Build data pipelines, models, and RAG/document Q&A systems for risk insights
- Deploy, monitor, and secure AI applications on Azure
- Run models on company GPU servers
- Maintain CI/CD and infrastructure pipelines
- Work across applications, data, and infrastructure
Requirements
- 01Strong Python
- 02Working SQL
- 03A demonstrable project via GitHub, deployed app, or portfolio
- 04New graduates and junior engineers welcome
- 05Live within commuting distance of New York City, New Jersey, or Connecticut
Perks
100% employer-paid medical, dental, and vision insurance401(k) with immediate vesting and 4% company matchPaid time off and paid holidaysLife, disability, critical illness, and accident insuranceEmployee Assistance ProgramPre-tax flexible spending accountsTuition reimbursementFitness reimbursement
Skills
PythonSQLSQL ServerAzureAzure AI ServicesDocument IntelligenceClaude APIOpenai APISelf Hosted ModelsGPUsLLM Document ExtractionAgentic Workflows
Full description
United Risk | Early-Career AI Engineers – Full-Stack, Data Science, Infrastructure/DevOps (10 openings) | New York, NY | HYBRID (2 days/week in office) | FULL-TIME | $100K–$120K
United Risk is a global property and casualty insurance underwriting and distribution platform, with practices from surety to aviation to fine art. Our in-house AI team builds the tools that make specialist underwriters quicker and smarter: submission ingestion, underwriting workbenches, risk analysis and back-office automation.
All roles: 0–4 years of experience (internships and co-ops count; new grads and junior engineers welcome), strong Python, working SQL, and something you built that you can show us: GitHub, a deployed app or a portfolio. Each role leans one way, but everyone works across apps, data and infrastructure, and three senior AI engineers review your work. Start dates from December 2026.
Hybrid: in office at Rockefeller Center, NYC; you'll need to live within commuting distance (NY/NJ/CT).
Stack: Python, SQL Server, Azure AI services (incl. Document Intelligence), Claude and OpenAI APIs, self-hosted models on our own GPUs
- Application Development (full-stack): AI apps and agentic workflows underwriters use every day, including LLM document extraction with human review built in. https://jobs.lever.co/auw/9234d6e2-f306-48d9-9cd6-9192d34d88...
- Data Science: pipelines, models and RAG/document Q&A that turn submissions, policies and loss runs into risk insight; a grounding in statistics. https://jobs.lever.co/auw/6f317af6-4362-4dea-accc-e86ec1d102...
- Infrastructure/DevOps: deploy, monitor and secure AI apps on Azure, run models on our own GPU servers, CI/CD and pipelines; Linux and a major cloud. https://jobs.lever.co/auw/515a3498-4257-4e68-91ff-cf82e854f1...
Benefits: Our Benefits Include:
- 100% employer-paid medical, dental, and vision insurance for employees.
- 401(k) plan with 100% immediate vesting and a 4% company match.
- Paid time off (PTO) and paid holidays.
- Life, disability, critical illness and accident insurance.
- Employee Assistance Program (EAP).
- Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses.
- Tuition reimbursement.
- Fitness reimbursement and various additional quality-of-life benefits.