AI Engineer

Oxbridge Health•Norwalk, CT

12d•$80,000 - $110,000

About The Position

The AI Engineer is an entry-level, generalist software role on a small AI team. The engineer will build and ship software across the company’s stack, incorporating language models and automation. The role begins with smaller changes to learn the codebase and progresses toward owning features end to end. It is suited to a recent graduate who learns quickly, is curious about AI, and asks questions when needed. The work includes developing backend services in Python, web applications in React and Next.js, and deploying software on AWS. The engineer will apply language models such as Claude and Gemini and automation tools to healthcare workflows, addressing production data and documents rather than only demonstrations. They will also investigate bugs, improve reliability, and collaborate with team members and business partners to identify workflow problems and determine what is worth building.

Requirements

Recent bachelor's or master's graduate in computer science, engineering, data, or a related field, or equivalent project or internship experience.
Experience writing code in at least one programming language; Python is a plus.
Comfort with everyday developer tools such as Git and GitHub.
Hands-on experience with AI tools such as Claude, ChatGPT, Gemini, or Cursor through coursework, an internship, or personal projects, and willingness to keep learning.
Strong critical thinking, including the ability to break down complex problems and evaluate whether AI-generated answers are correct.
Clear written and verbal communication, including explaining reasoning so that teammates or AI tools can act on it.
Collaborative, ownership-minded attitude.
Comfort working in a fast-paced, evolving environment where priorities shift and processes are still being built.

Nice To Haves

Familiarity with a cloud platform such as AWS.
Experience building projects with agentic coding tools such as Claude Code, Cursor, or Codex.
Experience with process and systems optimization, including identifying bottlenecks and designing improvements.
Frontend and design skills, including React, Next.js, and accessibility.
Background in statistics, machine learning, or data science, especially involving healthcare or actuarial data.
Data-engineering experience, including SQL, pipelines, dbt, Athena, or Iceberg.
Familiarity with healthcare, insurance, or employee benefits.

Responsibilities

Build and ship features across products, including Python backend services and React and Next.js web applications, and deploy them on AWS.
Start with smaller changes to learn the codebase and progress toward owning work and features end to end.
Apply language models, including Claude and Gemini, and automation tools to real healthcare workflows and production data and documents.
Investigate bugs, improve reliability, and learn how production systems behave with real-world inputs and volume.
Collaborate with the team and business stakeholders to identify workflow bottlenecks, define problems, and shape what should be built.