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AI agent orchestration

AnswerThis· Engineering
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Hybrid (San Francisco, CA)$120k - $200k + equityFull-timePosted 8mo ago

About the role

Engineering role focused on building an end-to-end workspace and AI agent orchestration for scientific discovery, with emphasis on scalable full-stack development and AI agent tooling.

Responsibilities

  • Ship fast and learn faster (implied by role expectations)
  • Build and scale full-stack products that can handle >1M users (implied)
  • Work with AI agents, vector search, and agent memory as part of the stack (explicit in role description)
  • Collaborate with customers and founders in a YC-backed startup (implied)

Qualifications

  • 3+ years of engineering experience (explicit)
  • Experience with full-stack product development that scaled
  • Familiarity with AI agent stacks, vector databases, graph RAG, and agent memory (explicit)
  • Willingness to work in San Francisco, CA or remote (location and hybrid/onsite not strictly required by text but listed as SF/Remote)
  • Visa sponsorship (explicit)

Skills

Required:AWSPythonMicroservicesNext.js
Nice to have:Prompt Engineering

Benefits

  • Equity (implicit in equity mention)
  • Competitive salary: $120K-$200K (explicit)
  • Remote work options (SF/Remote)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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About AnswerThis

AI platform helping 200k+ researchers accelerate scientific discovery

AnswerThis is a scientific discovery platform used by over 200,000 researchers that reduces weeks of manual research work to hours. Instead of manually searching, reading, and organizing dozens of papers, researchers use AnswerThis to find the most relevant work, see how ideas are connected, and get comprehensive answers to complex scientific questions with line by line answers. This allows them to map research gaps, analyze trends, and draft literature reviews far faster, all while building a searchable library of their own research materials.

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