Full Stack Software Engineer (Intern)

Astral Insights LLC

Phoenix (AZ)

Hybrid

USD 50,000 - 70,000

Full time

14 days+
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Benefits offered by this job

Direct mentorship from senior engineers
Exposure to technically interesting problems
Investment in AI tooling

Job summary

Astral Insights LLC is seeking a motivated Full Stack Software Engineer intern in Phoenix, Arizona. This role involves contributing to the Artemis AI engine and Phoenix data platform, working alongside senior engineers on actual product tasks. Candidates should be pursuing a CS-related degree and possess a knowledge of backend languages. You'll gain mentorship, work on impactful projects, and utilize modern AI-assisted development tools in a hybrid work environment.

Qualifications

  • Must be pursuing or have completed a degree in Computer Science, Software Engineering, or related field.
  • Knowledge of a backend language and web fundamentals is necessary.
  • Demonstrable ability to lead projects or create outstanding work.

Responsibilities

  • Contribute features across the stack and ship them under senior engineers' guidance.
  • Run your own tests to ensure quality.
  • Participate in code reviews and communicate clearly.

Skills

Coding in Python
Frontend development (Next.js)
Git
Cloud platforms (AWS, Azure, or GCP)
SQL and relational databases
Testing frameworks

Education

Pursuing or recently completed a CS-adjacent degree

Tools

Claude Code
Copilot

Job description

Astral Insights builds AI-driven solutions to solve the most complex operational challenges in manufacturing and supply chain. We're looking for a motivated Full Stack Software Engineer intern to join our engineering team and contribute to real product work: building out our Artemis AI problem-solving engine and Phoenix data platform.

You'll work alongside senior engineers on Artemis and Phoenix, picking up features, squashing bugs, and learning what it means to build production software in a fast-moving, quality-conscious environment. If you're early in your career and serious about becoming a strong engineer, this is a place where that happens quickly.

What You'll Do
Contribute features across the stack

Pick up real product work on the Artemis AI problem-solving engine and the Phoenix data platform. Ship features across the frontend (Next.js) and backend (Python, REST APIs) under the guidance of senior engineers.

Write and run your own tests

Build the habit of testing your own code from day one. Quality is not a separate phase; it is part of how we ship.

Participate in code reviews

Sprint planning, daily standups, and iterative delivery. You will own work end-to-end inside a sprint and be expected to communicate progress and blockers clearly.

Use AI-assisted development tools thoughtfully

Use Claude Code, Copilot, and similar tools to accelerate your work. Learn when to trust the output, when to verify, and when to throw it out.

Document what you build

Write clearly enough that a teammate can pick up your work without a meeting. Good documentation is part of the deliverable, not an afterthought.

What We're Looking For
Pursuing or recently completed a CS-adjacent degree

Computer Science, Software Engineering, or a related field. We care about what you can build, not just where you studied.

Working knowledge of a backend language and the web fundamentals
Comfortable with Git
Hands-on with agentic coding tools
Demonstrated exceptional ability

Academically, professionally, or through extracurriculars. You have shipped, won, built, or led something that stands out.

Curious and self-directed

You have a bias toward figuring things out before asking for help. You ask sharp questions when you do.

Clear communicator in a remote-first environment

You can write a clear update, leave a useful PR comment, and run a focused video call. Your team should never have to guess what you're working on.

Bonus Points
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Experience with SQL and relational databases.
  • Coursework or projects involving data pipelines, machine learning, APIs, or MCPs.
  • Familiarity with testing frameworks in any language.
Why Astral
  • Real product work on the Artemis AI engine and Phoenix data platform, not a rotation program or busywork.
  • Direct mentorship from senior engineers and exposure to the founding team.
  • Technically interesting problems: AI agents, supply chain signal processing, and regulated data pipelines.
  • A small, high-output team where your contributions are visible and your growth is fast.
  • Heavy investment in AI tooling. If a tool makes you faster, we buy it.

Must be authorized to work in the US. Hybrid arrangements and remote programs are open for consideration.

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