AI Solutions Engineer

Good Company
Strafford, MO, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$50,000.0 - $80,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence BigQuery Database Design Python (Programming Language) PostgreSQL OAuth SQL Databases TypeScript Restful APIs Webhooks

Requirements

  • SQL and database design (Postgres, BigQuery, or similar)
  • API integration experience - REST, webhooks, OAuth, the fun parts and the cursed parts
  • TypeScript, Python, or both
  • Experience in logistics, e-commerce, or another operations-heavy business

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Retirement plan
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, * [$50k-$80k] salary + [benefits summary - health, PTO, 401k, etc.]
  • A greenfield platform build with direct, visible P&L impact
  • No layers, no six-week sprint ceremonies - you’ll talk to the people who use what you build, often the same day you build it
  • Leadership that has already bought into modern tooling - you’re not here to convince anyone it matters
  • A small team where your work is the difference, and everyone knows it, * Your rĂŠsumĂŠ (or LinkedIn, or GitHub - whatever tells your story best), and
  • A short note about something you built that solved a real problem. What was broken, what you built, how it worked, what happened. Three paragraphs max.

Show us, don’t tell us. We read every one.

The Good Company is an equal opportunity employer.

Pay: $50,000.00 - $80,000.00 per year, * 401(k)

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

About the company

The Good Company - Springfield, MO ¡ [Onsite / Hybrid - TBD] ¡ Full-time ¡ [$50k-$80k] + benefits

The short version

We’re a fast-growing 3PL that ships for e-commerce brands people love - and we’re rebuilding our data and tooling backbone from the ground up. We’re hiring an engineer to help build it: someone who can design a data model, wire up an API, ship a tool, and stand behind how it works.

If your favorite thing in the world is looking at a slow, manual, duct-taped process and thinking “I could build something better by Friday” - keep reading.

Who we are

Good Company does good work for good people. We’re a Springfield, Missouri third-party logistics company that our e-commerce clients treat as an extension of their own brand. We just moved into a new facility, our volume roughly doubles every year, and our leadership team has made a real bet: that great tooling and AI, in the hands of people who care, is how a 3PL wins the next five years.

That bet is this role.

What you’ll actually do

You’ll join a small Information team in the middle of its most exciting chapter - replacing spreadsheets, legacy BI, and vendor workarounds with a modern platform we own:

  • Build internal tools people use the next day - dashboards, ops tools, and client-facing reporting on our stack (TypeScript, Next.js, Supabase/Postgres, BigQuery, Vercel).
  • Connect systems that don’t talk to each other - our WMS, billing, accounting, carrier, and Slack ecosystems all have APIs; you’ll make them one system instead of ten.
  • Solve problems worth real dollars - automated reporting, billing-error detection, shipping-anomaly monitoring. The problems here aren’t hypothetical; catching them is worth six figures a year.
  • Turn hours into software - every recurring manual process in the business is a candidate for automation, and you’ll have the mandate to go after them.
  • Own things end to end - you scope it, build it, ship it, and stand behind it. No ticket queue, no committee.

Who you are

We hire for traits first, rĂŠsumĂŠ second:

  • A problem-solver who happens to use technology - you’re drawn to the itch of an unsolved problem more than to any particular tool.
  • Strong on fundamentals - you understand what’s happening under the tools you use: how the data is modeled, what the API actually returns, why the query is slow, what breaks when the request fails.
  • Fluent with AI, and accountable for it - you use AI to build and think faster, but you can read, debug, and explain every line it produces. If you can’t say how it works, you don’t ship it.
  • A finisher - you ship. You’d rather deliver something real this week than something perfect never.
  • Curious - you want to know why the number is wrong, not just that it is. (Ask us about our core values - curiosity is one of them, and we mean it.)
  • An owner - when something you built breaks, you’re the first to know and the first to fix it.
  • A translator - you can sit with an account manager or a CFO, understand what they actually need, and come back with something better than what they asked for.

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz ¡ World Congress 2026 Europe

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

1:28 min

Synchronizing database webhook triggers with pipeline webhooks

Bobur Umurzokov ¡ LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou ¡ Coffee With Developers

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz ¡ World Congress 2026 Europe

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 ¡ LIVE

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