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Role description

Applied AI Engineer

SafetyKit logoSafetyKitYC S23
AI-native
TypeFull-time
WorkplaceOn-site
LocationSan Francisco, CA
Posted4/8/2025
Engineering

We’re inventing the future of B2B SaaS with AI agents. We’re betting on language models and we’re betting on scale. You’ll test new models the day they come out and understand their characteristics better than their developers do. 

You’ll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models.

You’ll work directly with customers every day and have unusual influence over operations and policy-making at the world’s biggest companies.

Responsibilities

  • Turn language models into useful, functional, and beautiful products.

  • Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.)

  • Architect and implement workflows that power SafetyKit's risk AI agents

  • Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases

  • Use codegen models to move 10x faster than you did two years ago

About you

  • You love language models.

  • You have the patience to be rigorous.

  • You act like an owner in everything you do.

  • People tell you you pick things up unusually quickly.

  • You love the weird little details of life in our customer’s companies. 

  • You care about your work and you care about moving fast. A lot.

  • You know more than you need to know. You have an insatiable curiosity.

Relevant archetypes

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Company info

SafetyKit logo

SafetyKit

We exist to make fraud unprofitable and build AI agents for Risk and Safety at scale.

SafetyKit exists to make fraud unprofitable. We build AI agents for teams tackling fraud & abuse through complex workflows like underwriting, investigations and content moderation. Trusted by the world's largest marketplaces and payments companies. Join us April 23 for our Risk / AI Conference in San Francisco! https://safetykit.com/risk-ai-event

Private companySeries AYC S23AI-product
HQSan Francisco, United States
Size
Unlock human wisdom
ThesisTermsPrivacy
11–50 employees
IndustrySoftware Development
Funding
  • Series A · Apr 4, 2025
  • Seed · Dec 1, 2023
Tech stacknext-js, amazon-sqs, amazon-web-services, serverless, openai, postgresql, attribution, aws-lambda, microsoft-typescript, react

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