we're building the all-in-one platform for AI development.
here's what that actually means:
the core: a programming language for building just AI assembly language for the new reasoning unit (LLM) is English, so let’s put it front and centre and incorporate 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)
tl;dr we need technical people who can help our biggest customers build game-changing ai solutions. think palantir fde meets ai engineer, but for the next wave of builders. you'll be shaping how companies like instacart implement ai into their core workflow.
the actual challenge: we're making ai development accessible to everyone through plain english, but our enterprise customers need someone who can speak both languages - technical and business. you'll be the bridge between deep technical implementation and real-world impact.
what you'll actually be doing:
solving hard technical problems for our biggest clients:
architecting complex ai workflows
integrating wordware with existing systems
optimizing performance and reliability
building proof of concepts that actually ship
being the technical voice of wordware:
educating teams on ai implementation
turning customer feedback into product improvements
expanding usage within accounts
showing what's possible with our platform
you should probably:
be an actual software engineer (we need the real deal)
have experience building and shipping production systems
understand ai/ml concepts deeply
be comfortable diving into client codebases
know how to explain technical concepts to non-technical people
enjoy both coding and client interaction
extra points for:
experience at companies like palantir/foundry
previous forward deployed / solutions engineering roles
ai implementation experience
startup experience (you'll need to move fast)
real talk:
sf only - no remote
you'll own client relationships from day one
lots of context switching between different clients/problems
sometimes you'll need to build stuff we haven't thought of
your work directly impacts our biggest customers
you enjoy weird company culture, we host crossbow competitions on sunday (really), our new office is 30m from the sea and has a sauna
tech you should know:
strong coding skills (typescript/python, but you might need to adjust to our clients infra)
api integrations and system architecture
ai/llm concepts and implementation
ability to learn new stacks quickly (you'll need it)
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.
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