Who we are: Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. Backed by a16z.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
- 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...
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