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Metaforms seeks a full stack engineer to work with customers, identify where workflows break, and ship fixes end-to-end across the stack. The ideal candidate has strong React, TypeScript, Python and AWS skills and a track record of turning ideas into working releases.
The role centers on embedding AI into everyday research workflows, building evaluations and recovery paths to keep features dependable. Experience with enterprise workflows or early‑stage teams is a bonus.
This role asks for a full stack engineer who can work directly with customers to spot where their workflows break down, then design and ship fixes across the whole stack. A strong candidate has several years of shipping software, solid React, TypeScript, Python and AWS skills, and proof of taking products from idea to working release. Good judgment about scope and speed matters, along with the drive to gather context and decide without being told.
How it fits the AI era
The work centers on putting AI into everyday research workflows, so the engineer builds the evaluations and fallback paths that keep those features dependable. AI speeds up parts of building and testing, but finding real customer friction, judging what is worth building, and deciding when quality is good enough stay human. Following a feature into production and improving it from real usage remains a hands on job.
How it builds AI experience
Working on AI agents for survey programming and data processing gives direct practice in shipping AI features that agencies depend on daily. A candidate can build this by making a small AI tool end to end, including checks that catch bad output and a recovery path when it fails. Experience with enterprise workflows or early stage teams helps, since the posting lists both as bonuses.
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About Metaforms
Metaforms builds AI agents for market research agencies and sample providers, automating survey programming, data processing, and vendor coordination (per the company).