Senior AI Engineer
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Job Description
Senior AI Engineer developing AI-enabled solutions for commercial insurance. Partnering with R&D and DnA teams to design, build, and deploy intelligent systems.
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
Requirements:
- 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
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
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