Python · Docker · Kubernetes · AWS · Azure
ABOUT THE ROLE
Join an AI-focused engineering team building production systems for enterprise clients. You will work across client environments to turn complex business needs into dependable AI workflows and software.
WHAT YOU'LL DO
- Own the architecture, development, and production deployment of AI workflows and agentic systems for enterprise clients.
- Ramp up on unfamiliar client codebases and deliver production software with limited guidance.
- Work with senior client stakeholders and engineering teams across industries including finance, entertainment, and consumer goods.
- Partner with AI strategists to scope projects and build systems that operate reliably beyond the engagement team's direct involvement.
- Use modern AI-assisted coding tools to accelerate software development.
WHAT WE'RE LOOKING FOR
- Three to eight years of software engineering experience, with a record of personally building and deploying substantial production systems.
- Full-stack product engineering experience, including hands-on production coding; this is not a data-only or solutions engineering role.
- Production experience with AWS, GCP, or Azure, including work with real cloud infrastructure complexity.
- Strong communication skills and experience working with enterprise engineering teams and executive stakeholders.
- Ability to work at a fast pace with high ownership, ideally with startup experience or a demonstrated startup mindset.
- Experience with Python and TypeScript; familiarity with agentic AI systems or tools such as Claude Code, Cursor, or Codex is usef