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Fullstack / AI Engineer (4+ YOE)

Poka Labs· Engineering
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Hybrid (San Francisco, CA)$180k - $240kFull-timePosted 2mo ago

About the role

Full Stack/AI Engineer role at Poka Labs focusing on building production AI agents to automate pricing, quoting, and cross-sell for complex manufacturing businesses. Zero-to-one role owning large problem areas and shipping end-to-end AI-powered solutions used by sales, operations, and plant managers.

Responsibilities

  • Core product features from frontend to backend.
  • Infrastructure that keeps agents reliable in real environments.
  • Customer understanding through direct exposure to plants and operations.
  • Evaluation and deployment of new AI capabilities.

Qualifications

  • Strong full stack ability. You’ll be part UI designer, product manager, data engineer, and prompt whisperer.
  • Willing and comfortable digging into the weeds, but able to let models handle straightforward tasks.
  • Able to clearly explain a complicated system to both highly technical teammates and non-technical users.

Skills

Required:Full stack developmentFrontend technologies (TypeScript, Next.js, React)AI / LLM integration
Last updated Sep 23, 2026. Interested? Apply on the company site.
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About Poka Labs

The modern operating system for chemical manufacturing.

Poka Labs is developing an AI platform to automate operations tasks in chemical manufacturing, beginning with production scheduling. Traditionally, these tasks are performed manually using spreadsheets. Our software seamlessly integrates with existing data sources such as data historians, emails, and PDFs to automate analytics, scheduling, changes, and communication within a single platform. Malay and Andrew met while pursuing their MBAs at Harvard Business School. Malay previously worked as an engineer in the specialty chemical industry, saving his employers over $100 million across US, China, and German plants. Andrew worked as a software engineer on data infrastructure at Meta and optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in Machine Learning.

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