LaunchGood · Full Time · Remote

Applied AI Engineer - Job Posting

We're hiring our first Applied AI Engineer.

LaunchGood is the global crowdfunding platform for the Muslim Ummah, used by people across 130+ countries to fund thousands of campaigns every year. Behind every campaign that gets funded, a small, values-driven team is doing the unglamorous work of moderating, supporting, reconciling, and analyzing. That work scales linearly with our growth. AI doesn't have to.

We're putting an Applied AI Engineer on the team to change that math.

Your CV isn't everything

We're looking for people who look at a broken process and can't help but imagine what it should be. You will need to move fast in ambiguity, own problems end-to-end, and think carefully about where AI should take responsibility—and where it shouldn't.

Your story tells us where you've been. Your portfolio and experience tell us what you can do.

The role: Pragmatic AI that ships

This is not about building the most sophisticated solution. It's about building the right solution.

You'll be the person who looks at a workflow and asks: Does this need a custom Python agent, or would a well-designed n8n workflow with an LLM step solve it in a fraction of the time?

We need someone who understands that the best tool is the one that ships, scales, and stays maintainable—whether that's a TypeScript service, a LangGraph agent, or a Zapier automation. Knowing when to write code and when to reach for low-code platforms isn't a compromise; it's a core competency.

The problems we solve span ops, trust & safety, support, finance, marketing, and engineering. Many of them sit at the intersection of multiple teams, where trade-offs get messy and pragmatism wins.

What the role actually is

You'll report directly to the Head of Engineering and partner with team leads across LaunchGood to find and ship the highest-leverage AI opportunities. The mandate is broad: take the repetitive, judgment-light, or insight-starved parts of how LaunchGood runs internally and rebuild them with agents, copilots, and automations that work in production.

This is not a research role. You'll ship things people use every week, measure whether they save real time and improve real quality, and iterate fast. You'll have wide latitude to pick the right tool—a Python agent with custom tools and evals, a TypeScript service, or a well-designed n8n or Zapier workflow with an LLM step in the middle.

In your first 3 months, you'll have:

• Mapped at least 5 highest-leverage internal workflows across LaunchGood with team leads and built a prioritized roadmap
• Supported internal tools and systems that enable AI adoption across LaunchGood
• Shipped production agents or automations that have measurably saved hours or improved quality for at least two internal teams
• Stood up an internal copilot over LaunchGood's institutional knowledge that staff actually use daily
• Established an internal eval framework so any AI work (yours or others') has a clear, repeatable bar for "is this working?"
• Led workshops for internal enablement programs

What we'd expect you to be comfortable with on day one

Engineering fundamentals:

• Python and/or TypeScript, comfortable across backend and lightweight internal UIs
• Modern LLM tooling: model APIs (Anthropic, OpenAI, others), RAG, vector stores, structured outputs, tool use
• One or more agentic frameworks (LangGraph, CrewAI, Pydantic AI, AutoGen, or equivalent), with an opinion on when not to use them
• Designing evals (deterministic, LLM-as-judge, and human review) and wiring them into CI

Low-code & integration expertise:

• Low-code workflow platforms (n8n, Zapier, Make)—and critically, knowing when to reach for them vs. writing code
• Integrating with the messy real world: Slack, Google Workspace, internal databases, CRMs, payment systems

Judgment:

• Sound judgment around data privacy, sensitive content, and community trust
• Clear thinking about human/AI boundaries: what AI should own, what stays with humans, and how trust is built between them

What we're looking for in candidates:

• Problem selection instinct. You solve real problems worth solving, not AI for AI's sake.
• Human/AI boundary thinking. You've thought carefully about what AI owns, what stays with the human, and how trust is built between them.
• Pragmatic tool selection. You pick the right tool for the job—code when it matters, no-code when it doesn't—and can articulate why.
• Systems thinking. Your solutions hold up in the real world at scale and don't fall over the first time data gets weird.
• Judgment under uncertainty. You handle failure modes, edge cases, evaluation, and cost with clarity.
• Clear communication. You can explain your reasoning to someone who has to bet on you.

FAQs

What is this exactly? A full-time hire for an Applied AI Engineer role at LaunchGood.

Who should apply? Builders who think in systems, move quickly under ambiguity, and care deeply about where AI should and shouldn't replace human judgment. You take ownership end-to-end. We care more about proof of building than titles or tenure.

Is this an internship or part-time? No. Full-time role, reporting to the Head of Engineering.

Where is the role based? Fully remote. LaunchGood is a globally distributed team.

Do I need to live in a specific country to apply? No, but you need to be legally allowed to work in your current location.

How technical does the role need to be? You need to be comfortable writing production code and building sophisticated no-code automations. The balance matters—we're not looking for someone who only does one or the other.

When do I find out? Applications are rolling. Strong candidates will be contacted for panel interviews promptly.

About working at LaunchGood

We're a fully remote, globally distributed team united by a simple belief: Muslims are incredible, and the world is better when their ideas get the support they deserve. We offer flexible hours, Eid bonuses, team retreats every year, and the unusual privilege of doing work where values and career meet.

We'd love to hear from you.