Remote AI Engineer: LLM & Production ML Expert

Coterie Insurance; United States; Remote; USD 115,000 - 145,000; Full time

Benefits offered by this job

Remote work

Health insurance

Dental and Vision insurance

Life insurance

401(k) with match

Flexible PTO

Paid holidays

Education stipend

Job summary

Coterie Insurance is hiring an AI Engineer to join its R&D team. You will build, test, and deploy AI-enabled solutions that improve operations, customer capabilities, and product features. The role blends machine learning, software engineering, and responsible AI in production environments.

You will collaborate with cross-functional teams, integrate AI into internal and customer-facing systems, and ensure secure, compliant AI practices while driving measurable business impact.

Qualifications

• Bachelor's degree or equivalent in AI, CS, data science, or related
• Hands-on experience building ML/AI-powered apps
• Experience with large language models, embeddings, RAG and prompt engineering
• Strong Python, Pytest, Pydantic and FastAPI skills
• Familiarity with production-grade practices: CI/CD, testing, version control and observability
• Knowledge of data privacy, security, and responsible AI considerations

Responsibilities

• Partner with data, analytics, and engineering teams to deliver AI-enabled solutions
• Integrate AI capabilities into internal tools and customer products via APIs and cloud services
• Productionize AI systems with monitoring, bias checks, cost and latency considerations
• Document system architectures, model assumptions, and technical decisions
• Stay current on AI tools/frameworks and recommend pragmatic adoptions

Skills

Python

LLMs

Prompt engineering

API integration

CI/CD

Observability

Cloud platforms

Education

Bachelor's degree in a relevant field

Advanced degree preferred

Tools

AWS

Azure

GCP

Docker

Kubernetes

LangChain

OpenAI

SQL

Databricks

Job description

Coterie Insurance is hiring an AI Engineer to join its R&D team. You will build, test, and deploy AI-enabled solutions that improve operations, customer capabilities, and product features. The role blends machine learning, software engineering, and responsible AI in production environments.

You will collaborate with cross-functional teams, integrate AI into internal and customer-facing systems, and ensure secure, compliant AI practices while driving measurable business impact.