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Founding AI Engineer

Full-time
,
San Francisco, CA | Remote (US)
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What You’ll Do

  • Create goal-oriented AI agents capable of planning and executing multi-step security assessments.
  • Contribute to an AWS-native framework for complex security testing workflows.
  • Integrate cutting-edge LLM models and cybersecurity tools into the framework.
  • Customize solutions to address specific customer pain points and security challenges.
  • Continuously refine and expand the capabilities of the autonomous security testing system.

Required Experience

  • 4+ years of software engineering experience with world class teams
  • Programming Languages: Proficient in Python or Javascript / Typescript.
  • Large Language Models (LLM) Frameworks: Practical experience with at least one of the popular frameworks such as:
    • LangChain: For building applications with large language models.
    • LlamaIndex: For developing and deploying language models.
    • AutoGen: For creating agentic workflows.
  • Prompt Engineering: Skilled in crafting effective prompts to optimize the performance of language models and enhance AI-driven applications.
  • RAGs: Hands-on experience in building and deploying RAG systems.
  • Vector databases: for storing and querying embeddings and building RAGs.
  • API Development: Expertise in designing and implementing RESTful APIs to facilitate communication between different components of the AI system.

Bonus Points Experience

  • AWS experience: Familiarity with S3, Lambda, and DynamoDB for scalable and efficient deployment of AI solutions.
  • Cybersecurity experience: Experience as a Red Teamer, Penetration Tester, or Security Engineer.
  • Database Design: Experience with NoSQL databases, such as MongoDB or DynamoDB, for efficient data storage and retrieval.

Compensation

The base salary range for this position in the U.S. is $150,000 - $225,000 per year + equity + benefits.

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