Sr AI Engineer

Position Summary:
The Senior AI Engineer will work within the Research & Development (R&D) subdomain of Coterie’s broader Data and Analytics (DnA) department to design, 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 
• Create 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 
• Architect/design, build and productionalize AI and machine learning solutions including generative AI, natural language processing, predictive modeling and automation workflows 
• Develop modularized/templatized code structures; new requests are config changes not rewrites 
• Help mentor early career data scientists and AI engineers 
• Evaluate multiple LLM providers (Anthropic, Google, OpenAI) and determine the best fit for each use case based on quality, latency, cost and reliability 
• Establish monitoring and feedback loops for continuous improvement 
• Document 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:

• 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 
• 4+ years of professional experience deploying AI/ML-based applications to production 
• Intellectual curiosity 
• Technical proficiency with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation or agentic workflows 
• Technical proficiency in Python including extensive experience with Pytest, Pydantic and FastAPI 
• Technical proficiency with tools/technologies such as AWS/Azure/GCP, Claude, Databricks, Docker, Gemini, Kubernetes, LangChain, LangGraph, Lucid, OpenAI and SQL 
• Technical proficiency with production-grade development practices including documentation, testing, version control, code review, CI/CD (GitActions) and observability 
• Experience designing and deploying systems that account for data privacy, security, access controls and responsible AI considerations 
• Experience combining ML and LLM approaches in a single system 
• Familiarity with acquiring data from the web at scale including scraping, proxy management and working with public APIs, aggregators and open-source datasets 
• A bias toward practical, measurable outcomes and the ability to iterate quickly while maintaining high engineering standards 
• A clear point of view on the trade-offs between Anthropic, Google and OpenAI models across different task types 
• Experience building/leveraging reusable AI services or shared tooling that increases operational efficiencies

Our interview process:

Our hiring process generally consists of 4 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: 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 2: Selected candidates will be invited to participate in an experiential exercise interview with the hiring manager and Principal AI Engineer. This will include a project provided in advance along with a 1.5-hour interview conducted with our hiring manager.
• Phase 3: Top candidates will be invited to meet with members of our Data & Analytics (DnA) team. This stage consists of two separate 45‑minute team interviews, for a total of 1.5 hours.
• Phase 4: 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–$180,000, 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.