Member of Technical Staff

ValkaiNew York City, NY

About The Position

You’ll be responsible for revolutionizing how life sciences organizations interact with agents. You will design novel experiences that will become a daily driver of workflows. You’ll work with frontier models and orchestrate new interfaces to help people leverage them.

Requirements

  • Thoughtful problem solvers: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically and consider both the business and technical tradeoffs of your solutions.
  • Not ideological about technology: To you, technologies are about tradeoffs. You may be opinionated, but you’re not ideological. You can learn new technologies and are receptive to new ideas.
  • Organized and self-sufficient: You are comfortable managing yourself, navigating ambiguity, and finding ways to create impact.
  • Owner of your mission: You are an owner of the products that you create, meaning you take pride in the quality, maintenance, and understandability of the products you build and the code you write.
  • Grit: You will run through walls to achieve the goal.

Nice To Haves

  • Experience working in a high growth early stage startup.
  • Experience building agents, or fine-tuning LLMs to accomplish complex tasks.
  • Experience in building large scale content indexing systems.
  • You’ve built apps or are familiar with our stack - NextJS, React, Typescript, Python, Postgres, Azure, Vespa, Langgraph, Celery, Azure.

Responsibilities

  • Retrieval over peta-byte scale documents with varying formats (graphs, tables, diagrams, etc)
  • Organizational-level interfaces to collaborate with AI & mesh into their everyday workflows
  • 1000-step planning agents with human in the loop architecture
  • Collaborate directly with enterprise customers to design product experiences that help automate common workflows
  • Evaluating LLMs across a diversity of life science specific tasks
  • Government-level security for some of the world’s most sensitive data
  • Internet-scale data collection

Benefits

  • Competitive compensation, including meaningful equity.
  • Medical, dental, and vision insurance for employee and dependents.
  • Generous PTO policy.
  • Paid parental leave.
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