AI Engineer

Position Summary:
The AI Engineer will work within the Research & 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 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 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 
  
  

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, 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 
  
  

Preferred Qualifications (bonus experience):

• 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 
  
  

Our interview process:

Our hiring process generally consists of 5 phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!

• Phase 1: Due to the high volume of resumes received, the initial phase of our review process will involve selected candidates completing a pre-screen coding exercise. Results from this exercise will help determine advancement to subsequent stages of consideration.
• Phase 2: Qualified candidates will first meet with a member of our People Operations team for a phone interview.  This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.
• Phase 3: Selected candidates will be invited to participate in an experiential exercise interview. This will include a project provided in advance along with a 1.5-hour interview conducted with members of our Data Science team.
• Phase 4: Top candidates will then be invited to meet with additional members of our Data & Analytics (DnA) team for a total of 45 minutes to 1 hour.
• Phase 5: Final candidates will be invited to a 30‑minute interview with a senior member of our leadership team.

What's in it for you:

Coterie has excellent benefits for all full-time employees. We offer the following:

• 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
• This role is open to candidates at multiple levels. Final leveling (senior or non‑senior) and compensation will be determined based on qualifications and experience. The estimated annual salary range for this position is $115,000–$145,000, based on national market data. Candidates who meet all minimum requirements and demonstrate additional relevant experience, as outlined in the job description, may be considered for compensation above the midpoint of this 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:
At this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.