Wordware

forward deployed engineer or head of customer (coding skills necessary)

Remote San Francisco, CA
USD 80k - 160k
Assembly API TypeScript Python Spark
Description

what is wordware?

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)

wordware engineer (forward deployed) @ wordware

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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