Founding Applied AI Engineer

Job Posted 9 Days Ago Posted 9 Days Ago
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San Francisco, CA
Mid level
Information Technology • Internet of Things
The Role
The Applied AI Engineer will build AI products, optimize models, implement features, and shape the product vision in a fast-paced startup environment.
Summary Generated by Built In

We’re looking for experienced applied ai engineers who thrive in fast-moving startups and are excited to create an AI native workspace.

Qualifications

  • Willingness to work in-person in San Francisco 6 days per week

  • Experience building production application layer AI products

  • Experience building distributed systems

  • Obsessed with speed and scale

  • Ability to work in fast-paced and ambiguous environments

  • Insatiably curious and learns quickly

  • History of superlative achievement

  • Experience building RAG systems, leveraging multiple models, and building cognitive agent architectures is a plus

Responsibilities

  • Build in a full stack capacity

  • Run and productionize experiments to optimize our model use and agent outputs

  • Talk to users, track metrics, and iterate quickly

  • Scope out and implement core features

  • Shape product vision and roadmap

About Paradigm

Paradigm is a reimagined workspace with AI at its core. Paradigm is based in San Francisco and is backed by Y Combinator and the best builder/operators out there including cofounders of Dropbox, Intercom, Langchain, Redis, Behance, Posthog, and more

Our team is extremely small and talent-dense. We are serial builders who have worked at companies like Google, MIT, Microsoft (Excel Team), Citadel, Penn, SIG, and more.

As agents become more and more powerful, accessible large scale agent-orchestration becomes the biggest opportunity. If building a magical and accessible agent experience excites you, this is the right place for you.

Top Skills

AI
Distributed Systems
Full Stack Development
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The Company
7 Employees
Remote Workplace
Year Founded: 2023

What We Do

Leverage swarms of agents to gather, structure, and take action on data with human-level precision

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