Engineering intern

what is wordware?

we're building the all-in-one platform for AI development.

here's what that actually means:

the core idea: if the assembly language for new reasoning units (LLMs) is English, let's put it front and centre and incorporate the best concepts from software engineering:

• conditional statements

• loops

• function calling functions (aka in fancy language multi-agent communication) — this is more difficult than it seems because of the needed type system (see below)

• type system (especially important for interacting with multimodal LLMs where one output might have to be transformed to be passed on forward to the next step of the flow which might incorporate an LLM which can only interact with specific modalities)

• easy linking with Tools (custom or prebuilt and ready to use: speech-to-text, image generation, ElevenLabs, research and many more

the ide: where the magic happens like notion met vscode and had a baby. build and test AI flows instantly, see results in real-time, iterate fast.

deployment: choose your flavor

• api mode:

  • plug your AI engine straight into your product

  • forget about prompt management hell

  • focus on features, not infrastructure

• workflow mode:

  • automate your work with triggers and actions

  • start small, scale to entire business processes

  • connect everything - it's an operating system for AI

• wordapps & repository:

  • deploy as public/private web apps

  • share your flows github-style

  • let others fork and build on your work

  • control what people see (from basic UI to full process)

p.s. pls don't use zero prompt ai, we get enough of these to know immediately 😂

Engineering Intern at Wordware

tl;dr we're hunting for a student who learns incredibly fast, gets things done, and isn't afraid of startup chaos. you'll be working on an AI platform that real builders actually use.

the bigger picture: we're not just talking to traditional developers. we're reaching the next 500 million people who will be "coding" with plain english - lawyers, designers, product managers, founders, and domain experts of all kinds. our product needs to thread an impossible needle: deep enough for engineers, accessible enough for everyone else, and compelling enough to show both groups why this matters.

what you'll actually be doing:

• diving into our collaborative IDE for AI development (think google docs had a baby with vscode)

• writing actual code that ships to real users (mostly typescript/next.js)

• helping build components for our workflow system

• improving our explore page so the community can actually find cool stuff

• learning why LLM orchestration is a technical nightmare (and how we solve it)

you probably should:

• be studying something relevant (CS, EECS, Data Science)

• have built something — anything — that actually works

• know your way around JavaScript/React without constant ChatGPT

• be genuinely interested in AI (not just because your career advisor said it's hot)

• be comfortable with "hey, can you figure this out?" without a 50-page spec

• enjoy learning by doing, breaking things, and fixing them again

real talk:

• this is in-person in SF — we can help you with finding accommodation

• your code will hit production (with some supervision)

• we move fast and things break — you need to be comfortable with not being able to do everything perfectly

• sometimes you'll be figuring stuff out while we're putting out fires elsewhere

if you've ever:

• stayed up all night coding something just because you couldn't stop

• wished you could be part of something bigger than a class project

• wanted to see what startup life is actually like

ps: we're backed by spark capital, felicis, and y combinator ($30m seed — biggest out of YC round) but we still work like a seed startup. and yes, the office will have a sauna and be 30m from the sea 🥵