Build AI systems end-to-end: LLM integrations, workflow automation, data pipelines, and custom tooling
Ship production code for client engagements in healthcare, education, and financial services
Work with senior team members to translate business requirements into technical implementations
Iterate on deployed systems based on real-world performance and client feedback
Research and evaluate emerging AI tools against actual client needs
Contribute to internal engineering standards, tooling, and documentation as the firm scales

Requirements

1-3+ years of experience in software engineering or applied AI
Strong fundamentals in Python and comfort picking up new tools quickly
Some hands-on experience with LLMs, whether through work, side projects, or hackathons
A track record of shipping something real that people actually used
A bias toward figuring things out rather than waiting to be told what to do
Curiosity about the business side (a desire to understand why something is being built, not just how)
Bonus: experience with RAG, agents, orchestration frameworks, or data pipelines
Bonus: exposure to healthcare, education, or professional services

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonLLMsworkflow automationdata pipelinescustom toolingorchestration frameworksRAG

Soft Skills

curiosityproblem-solvingadaptabilitycollaborationcommunication