AI Engineer
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Job Description
AI Engineer building secure, production AI systems for Coterie’s small-business insurance platform. Integrating generative AI, machine learning and automation into products and operations.
Responsibilities:
- Build, test and deploy intelligent systems that enhance business operations, customer capabilities and product capabilities
- Partner with Data & 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 aligned with company policies, regulatory expectations and responsible AI principles
- Productionalize generative AI, natural language processing, predictive modeling and automation solutions
- Evaluate model performance, reliability, safety, bias, latency, cost and business impact
- Help 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
- Participate in coding exercise, phone interview, experiential project interview and Data & Analytics and leadership interviews as part of the hiring process
Requirements:
- 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 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 skills and familiarity with production-grade development practices, including documentation, testing, version control, code review, CI/CD and observability
- Familiarity with AWS, Azure or GCP; Claude; Databricks; Docker; Gemini; Kubernetes; LangChain; LangGraph; OpenAI; and SQL
- Working knowledge of data privacy, security, access controls and responsible AI considerations
- Bias toward practical, measurable outcomes and ability to iterate quickly while maintaining high engineering standards
- Must be authorized to work in the United States without current or future visa sponsorship
- Preferred: advanced degree or equivalent professional experience; regulated-industry experience; reusable AI services or shared tooling; model trade-off knowledge across Anthropic, Google and OpenAI; web-scale data acquisition, scraping, proxy management, public APIs, aggregators and open-source datasets
Benefits:
- 100% remote
- Health insurance through Aetna (100% of premiums paid)
- Dental and vision insurance through Guardian (100% of premiums paid)
- Basic life insurance (100% of premiums paid)
- Flexible spending account (FSA) or health savings account (HSA) access
- 401K plan with up to 4% match and immediate vesting
- Flexible PTO policy offering up to 4 weeks in the first 12 months; typically up to 5 weeks per calendar year thereafter
- 12 company-paid holidays each year
- Continuing education annual stipend
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