Engineer I

Tavern Research•Chicago, IL

2h•Onsite

About The Position

As an Engineer I at Tavern, you’ll be a core builder on the team, turning real requirements into working software, and understanding why we’re building what we’re building. This is a hands-on, execution-focused role. You’ll write production code, write tests, and help get features across the finish line. You’ll work closely with senior engineers who will review your work, challenge your thinking, and help support your technical growth. Your work might include building a new API endpoint one week, refactoring a legacy tool the next, or improving the reliability of systems our clients depend on every day. We value in-person collaboration and expect regular time in our Chicago office. We’re hiring multiple engineers and reviewing applications on a rolling basis—if the posting is still up, the position is still open.

Requirements

0-2+ years of relevant experience, with an emphasis on demonstrated ability rather than tenure.
Proficiency in Python, JavaScript, Docker and Kubernetes.
Experience working with and deploying LLMs or agentic, AI-assisted systems.
Experience building backend systems, including working with databases, APIs, and infrastructure, with a solid understanding of core data structures and algorithms.
Familiarity with modern development tools such as Docker, Git/version control, and basic CI/CD workflows.
Ability to manage multiple projects and priorities simultaneously in a fast moving environment.
To be explicit, you don’t need a degree to work here. You just need to be good at the things we’re asking from you.

Nice To Haves

Political experience is a plus, not a requirement. If our mission resonates with you, we encourage you to apply, even if you don’t check every box.

Responsibilities

Translate product and internal requirements into clean, functioning code that ships to production.
Work closely with the engineering team to implement solutions, write unit tests, and participate in code reviews.
Troubleshoot and resolve issues in production, contributing to the stability and reliability of our tools.
Use LLMs and AI coding tools to accelerate development and continuously expand your technical skill set.
Actively participate in planning, stand-ups, and retrospectives to improve how we build and ship software.