Founding AI Engineer

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.