Software Engineer

Field Nation•Minnesota, MN

About The Position

Field Nation is looking for a Software Engineer who is eager to build, learn, and grow on a team that’s shaping how modern software gets made. This role is for engineers who deliver solid, well-tested work and want to develop into the next generation of technical leaders at Field Nation. As an AI-forward engineer, you will treat AI coding agents and LLMs as part of your everyday toolkit. You will learn to use these tools effectively under a “human-in-the-loop” model—moving faster while staying responsible for what you ship.

Requirements

Foundational Experience: 1–3 years of professional software development experience, or equivalent demonstrated ability.
AI-Forward Mindset: Curiosity about and willingness to use AI coding agents as a core part of how you work, paired with a healthy skepticism about their output.
Solid Fundamentals: Comfortable with data structures, algorithms, version control (Git), testing, and debugging.
Working Knowledge of the Stack: Experience with at least some of our core technologies (PHP, Python, Go, Node.js, React) and motivation to learn the rest.
Cloud Awareness: Some exposure to cloud platforms (AWS preferred) or a clear desire to develop that experience.
Clear Communication: Ability to ask good questions, explain what you’re working on, and write clear commits, PRs, and short design notes.
Growth Mindset: Open to feedback, willing to be wrong, and committed to getting better—both as an engineer and as a teammate.

Responsibilities

Collaborate with Product & Design: Partner closely with Product Managers and UX Designers to translate user needs and product visions into technical requirements and digital experiences.
Build and Ship: Develop, test, and deliver features, bug fixes, and improvements across our products with guidance from senior teammates.
Use AI Tools Effectively: Work alongside AI coding agents in your daily development—writing good prompts, reviewing generated code carefully, and learning the patterns that work.
Write Quality Code: Produce code that is readable, tested, and maintainable. Take feedback in code review seriously and apply what you learn.
Own Your Work: Stay accountable for the quality, security, and performance of the code you commit, regardless of how much was generated by an AI agent.
Participate in Design: Contribute to technical discussions and design reviews. Ask questions, share your perspective, and help your team make better decisions.
Support the Team: Help with on-call, debugging, and operational work. Treat reliability and the user experience as part of your job, not someone else’s.
Grow Continuously: Pair with senior engineers, follow our engineering best practices, and steadily expand the set of problems you can tackle independently.