Engineer I, Digital Engagement

Tavern Research•Chicago, IL

9d•$85,000 - $120,000•Onsite

About The Position

This is a hands-on, execution-focused role for an early-career engineer who is eager to make an immediate impact. The Engineer I will be a core builder, translating requirements into working software and understanding the 'why' behind the development. Responsibilities include writing production code, writing tests, and helping features reach completion. The role involves close collaboration with senior engineers for code reviews, challenging thinking, and technical growth support. Specific tasks may include instrumenting experiments for impact measurement, building sentiment-measurement tooling, or improving survey data cross-validation. The position emphasizes in-person collaboration with regular time expected in the Chicago office. Tavern Research is hiring multiple engineers and reviews applications on a rolling basis.

Requirements

0-2+ years of relevant experience, with an emphasis on demonstrated ability rather than tenure.
Proficiency in Python, JavaScript and Docker.
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.

Nice To Haves

Political experience is a plus, not a requirement.
Experience with (or strong interest in) social platform APIs, data pipelines, or experiment/measurement systems is a plus.

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.