Specular.ai
Founding AI Engineer
Specular.ai, San Francisco, California, United States, 94199
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 teamsLarge 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.
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4+ years
of software engineering experience with world class teamsLarge 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.
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