Full Stack Developer

Magellan AI•New York, NY

5d•Remote

About The Position

Magellan AI gives brands, agencies and publishers visibility into the podcast advertising market and proof that it works. Our audio analysis and NLP track ad placements across thousands of shows. Our measurement and attribution tools connect those ads to the traffic and conversions they drive, so buyers can optimize campaigns and sellers can prove performance. We are looking to hire an experienced full-stack developer to join our team of seven engineers, to help launch a major new feature and continue to enhance our core product. The job has changed shape over the past year: most of our code is now drafted by AI agents — Claude Code and Codex — working under close supervision. We ship considerably more than we used to, and the scarce skill is no longer typing speed. It is knowing what to build, specifying it precisely, and being able to tell a correct answer from a convincing one.

Requirements

3+ years of software development experience
Expertise with Agile web development, with practices such as TDD and Refactoring
Fluency working with AI coding agents day to day, or the obvious appetite for it. You do not need our exact toolchain, but you should be someone who reviews what an agent hands you rather than trusting it.
Clear writing. You will be writing specs, ADRs and documentation read by people who are not engineers.

Nice To Haves

Ruby on Rails
ClickHouse
Python
NYC-based
Experience designing MCP servers or other LLM-facing APIs
Background in ad tech
Interest in the podcasting world

Responsibilities

Adding new features to our Ruby on Rails application from top-to-bottom, full stack. You will work with operations and sales to help creatively design ‘good enough’ yet professional solutions.
Directing AI coding agents through real work: framing the problem and its constraints, reviewing what comes back line by line, pushing back when a solution has outgrown the problem, and starting over simpler when that is the right call. You own the result regardless of who typed it.
Increasing system/code quality by using practices such as TDD and refactoring. Quality around the core of the system has become more important as we scale up — and more important still now that the volume of code we produce has gone up.
Writing the design down before the code: specs, architecture decision records, and product documentation for our operations team. Precise writing is a core engineering skill here, because it is both how we align with each other and how we brief our agents.
Extending our own tooling — the skills, subagents and CLI helpers that encode how we work. Codifying a workflow so the whole team, and their agents, can repeat it is ordinary, reviewed work here.
Building AI-facing product surfaces, like our Ad Intelligence MCP server, where the consumer of the API you design is a language model rather than a browser — with the authentication, policy gates and audit logging that implies.
Enhancing usability of existing features via Turbo/Stimulus and other front-end improvements.
Troubleshooting and fixing performance issues and complicated logic across Postgres and ClickHouse.
Help simplify the system by bringing in smart design decisions.
Experimenting and providing stopgap solutions for potential opportunities. Sometimes this involves quick and dirty solutions such as scripting, SQL exports, web scraping and the like.
Sharing in providing operational support to make sure the system stays running and address any bugs. (Most usage is during normal business hours…we don’t do pagers.)
Experimenting via internal hackathons to produce novel solutions and feature enhancements.