AI Engineer

AI Engineer – Coterie Insurance

Location: United States (National Remote)
Work Arrangement: 100% Remote
Employment Type: Full-Time
Salary Range: $115,000–$145,000 annually

Job Description

Who We Are

Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.

The company is on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. Coterie values integrity, humility, passion, and intelligence.

Position Summary

The AI Engineer will work within the Research and Development (R&D) subdomain of Coterie's broader Data and Analytics (DnA) department to build, test, and deploy intelligent systems that enhance business operations, customer capabilities, and product capabilities.

This role combines applied machine learning, software engineering, and responsible AI practices to deliver reliable, scalable, and secure AI-enabled solutions in production environments.

Key Responsibilities

• Partner with Data and Analytics 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 documenting 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.

Required Qualifications

• 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 (LLMs), prompt engineering, embeddings, vector databases, retrieval-augmented generation (RAG), or agentic workflows.

• Strong Python proficiency, including hands-on experience with Pytest, Pydantic, and FastAPI.

• Strong software engineering skills and familiarity with production-grade development practices, including documentation, testing, version control, code review, continuous integration and continuous delivery (CI/CD), and observability.

• Familiarity with tools and technologies such as AWS, Azure, Google Cloud Platform (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.

Preferred Qualifications

• 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 or 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.

Interview Process

Coterie's hiring process generally consists of five phases. The process provides an opportunity for the company to learn more about candidates while allowing candidates to learn about Coterie.

1. Phase 1 – Pre-Screen Coding Exercise: Selected candidates complete a coding exercise due to the high volume of resumes received. Results help determine advancement to subsequent stages.

2. Phase 2 – People Operations Interview: Qualified candidates meet with a member of the People Operations team for a phone interview to discuss their background and interests and learn more about Coterie and the position.

3. Phase 3 – Experiential Exercise Interview: Selected candidates receive a project in advance and participate in a 1.5-hour interview with members of the Data Science team.

4. Phase 4 – Data and Analytics Interview: Top candidates meet with additional members of the Data and Analytics team for approximately 45 minutes to one hour.

5. Phase 5 – Leadership Interview: Final candidates participate in a 30-minute interview with a senior member of the leadership team.

Compensation and Benefits

Coterie offers the following benefits to full-time employees:

• 100% Remote: Work remotely.

• Health Insurance: Aetna medical insurance, with 100% of premiums paid by the company.

• Dental and Vision Insurance: Guardian coverage, with 100% of premiums paid by the company.

• Basic Life Insurance: 100% of premiums paid by the company.

• Flexible Spending Account (FSA) or Health Savings Account (HSA): Available for employees using HSA-eligible plans.

• 401(k) Retirement Plan: Up to 4% company match with immediate vesting. Employees must be at least 21 years old to participate.

• Paid Time Off: Flexible PTO policy offering up to four weeks during the first 12 months. Thereafter, PTO usage aligns with company standards and typically does not exceed five weeks per calendar year.

• Paid Holidays: 12 company-paid holidays annually.

• Continuing Education: Annual stipend for continuing education.

Salary: The estimated annual salary range is $115,000–$145,000, based on national market data.

This role is open to candidates at multiple levels. Final leveling as senior or non-senior, as well as compensation, will be determined by qualifications and experience.

Candidates who meet all minimum requirements and demonstrate additional relevant experience may be considered for compensation above the midpoint of the range.

Compensation decisions are guided by internal equity, established salary bands, market data, and the candidate's skills, prior relevant experience, education, certifications, and overall qualifications.

Work Authorization

Coterie Insurance cannot consider candidates who require current or future visa sponsorship.

Applicants must be authorized to work in the United States without requiring sponsorship now or in the future. Falsification of an application, including work authorization status, is grounds for immediate dismissal from consideration.