Note: The job is a remote job and is open to candidates in USA. Coterie Insurance is on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. The AI Engineer will work within the Research & Development subdomain to build, test, and deploy intelligent systems that enhance business operations and customer capabilities.
Responsibilities
- Partner with DnA teammates, software engineers and business stakeholders to deliver high-impact, AI-enabled solutions
- Integrate AI capabilities into internal tools, customer-facing products and operational workflows using APIs, cloud services and modern software development practices
- Implement secure and compliant AI systems that align with company policies, regulatory expectations and responsible AI principles
- Productionalize AI and machine learning solutions including generative AI, natural language processing, predictive modeling and automation workflows
- Evaluate model performance, reliability, safety, bias, latency, cost and business impact; help establish monitoring and feedback loops for continuous improvement
- Assist with the documentation of technical decisions, system architectures and model assumptions
- Stay current on emerging AI tools, frameworks, model capabilities and industry best practices; recommend and implement pragmatic adoption strategies
Skills
- Bachelor's degree or equivalent professional experience in Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics or a related quantitative field
- Intellectual curiosity
- Hands-on experience building machine learning or AI-powered applications
- Hands-on experience working with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation or agentic workflows
- Strong Python proficiency including hands-on experience with Pytest, Pydantic and FastAPI
- Strong software engineering and familiarity with production-grade development practices including documentation, testing, version control, code review, CI/CD and observability
- Familiarity with tools/technologies such as AWS/Azure/GCP, Claude, Databricks, Docker, Gemini, Kubernetes, LangChain, LangGraph, OpenAI and SQL
- Working knowledge of data privacy, security, access controls and responsible AI considerations
- A bias toward practical, measurable outcomes and the ability to iterate quickly while maintaining high engineering standards
- Advanced degree or equivalent professional experience in Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics or a related quantitative field
- Experience working in regulated industries such as banking, financial services, healthcare, insurance or related environments with meaningful audit, compliance, governance, and risk expectations
- Experience building/leveraging reusable AI services or shared tooling that increases operational efficiencies
- A clear point of view on the trade-offs between Anthropic, Google and OpenAI models across different task types
- Hands-on experience acquiring data from the web at scale including scraping, proxy management and working with public APIs, aggregators and open-source datasets
Benefits
- 100% remote
- Health insurance through Aetna (we pay 100% of premiums)
- Dental and vision insurance through Guardian (we pay 100% of premiums)
- Basic life insurance (we pay 100% of premiums)
- Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
- 401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participate
- Flexible PTO policy offering employees up to 4 weeks of PTO in their first 12 months. Thereafter, PTO usage aligns with company standards and typically does not exceed 5 weeks per calendar year.
- 12 company-paid holidays each year
- Continuing education annual stipend
Company Overview