AI Deployment Engineer
Engineering · Full time · Junior to mid level · London, New York or Cape Town
About Whitelabel
We build AI products for nonprofits. Our core product is a fundraising platform: an AI spine we deploy into nonprofit organisations so their fundraising, donor and programme work runs on top of agents rather than spreadsheets and manual process. Alongside the platform, Whitelabel Labs works directly with nonprofit teams to find, build and scale AI use cases inside their own operations.
We are small. Everyone here ships, and everyone talks to the people using what we ship.
About the role
This is a front deployed engineering role. You will split your time between building our core fundraising platform and working with nonprofit teams to take AI use cases from idea to prototype to production.
That means writing production code most weeks, and sitting with nonprofit leaders and their technical staff the rest of the time. You will help them choose the right tool, or build it when nothing off the shelf fits. You will also pick up special projects: short, scoped pieces of work where we prove something new before it becomes part of the platform.
We expect you to be heavily AI native in how you work. Not as a talking point, but as the way you build.
What you will do
- Build and ship features on the fundraising platform, front and back end
- Deploy the platform into nonprofit organisations and configure it to how they actually work
- Run discovery with nonprofit teams to identify AI use cases worth building
- Prototype quickly, then take the ones that work through to production
- Build reusable tooling, agents and workflows that we can deploy across multiple organisations rather than rebuild each time
- Build to the compliance bar the client sits under. Much of what we deploy runs in SOC 2 and HIPAA grade environments, so handling of donor and beneficiary data is a design constraint from the start, not a later review step
- Work on special projects that test new product directions
- Bring what you learn in the field back into the roadmap
What we are looking for
- Around 2 to 5 years writing production software
- Strong in TypeScript and Node, and in React and Next.js. This is what you will be writing most days
- Some production exposure to LLM systems: retrieval and RAG pipelines, embeddings and vector search, semantic search, orchestration, evaluation, and keeping token cost under control
- Real, demonstrable use of AI in your own engineering: agentic coding tools, Claude Code or equivalent, MCP servers, sub agents, spec driven development, automated review loops
- Evidence, not claims. Show us repos, plugins, internal tooling, workflows you built and what changed because of them
- Knowledge or experience of SOC 2 and HIPAA grade environments is a strong plus. You do not need to have owned an audit, but you should understand what it means to build in one: access control, audit trails, data handling and retention, and what you can and cannot send to a model
- You can hold a conversation with a non technical stakeholder and come out with a clear scope
- You work independently and finish things
Experience in nonprofits, public sector, education or healthcare is useful but not required. We care more about whether you can operate in an organisation that has limited technical capacity and still leave something working behind.
Our stack
You will not have touched all of this and we do not expect you to. It is here so you know what you would be working in.
AI and LLMs
Pinecone, Gemini, RAG pipelines, vector search, embeddings, LLM orchestration, semantic search, retrieval optimisation, Hugging Face
Engineering
TypeScript, Node.js, NestJS, React, Next.js, Python, REST APIs, distributed systems, microservices, Postgres, Snowflake
Infrastructure
Azure, AWS, Docker, Kubernetes, Terraform, Redis, Elasticsearch, CI/CD
We care more about depth in the core (TypeScript, React, Next.js, Node) and the ability to pick up the rest than about a checklist match.
You will probably enjoy this if
- You would rather deploy something imperfect and fix it with a real user than polish in isolation
- You already automate your own workflows without being asked
- You want to see the impact of what you build, in an organisation, rather than in a dashboard
- You are comfortable with ambiguity and a roadmap that moves
You will probably not enjoy this if
- You want a narrow, well defined ticket queue
- You want to work only on infrastructure or only on product
- You want to stay behind the code and never speak to a client
Logistics
- Location (London, New York or Cape Town) and hybrid or remote pattern
- Competitive salary based on experience and location
- Equity or other benefits
How to apply
Send a CV and links. If you have built AI tooling for yourself or your team, include it, and tell us in a few lines what it does and why you built it. That will carry more weight than the CV.
