About Bricklayer AIBricklayer AI is the first AI cybersecurity solution that enables autonomous AI agents to work alongside human experts, to run a smarter, faster, and more effective security operations team. With Bricklayer AI, multiple independent AI agents collaborate with each other and their human counterparts to accomplish complex cybersecurity procedures, all controlled using natural language. Bricklayer technology features a unique modular design, multi-agent workflows, and no-code integrations that deliver the most intelligent and trustworthy AI results. Bricklayer empowers organizations to run the most optimized SOC imaginable with the people they already have.The PositionOur AI Engineering Lead will serve as the hands on technical lead for our AI engineering initiatives, driving the implementation of our agentic LLM and Retrieval Augmented Generation (RAG) based autonomous SOC platform. This role combines hands-on technical team leadership expertise with strategic innovation and reports directly to the CTO. The ideal candidate will bridge the gap between cutting-edge AI capabilities and practical engineering solutions. They will put forth innovative ideas and prototypes to push our autonomous SOC solution forward. This leader will be comfortable working through ambiguity and will be extremely customer focused. They have worked in a startup environment before and are familiar with shipping often and iterating quickly.ResponsibilitiesDesign and implement production-grade AI systems using OpenAI and Anthropic modelsLead prompt engineering initiatives and develop RAG architecturesArchitect vector database solutions for efficient information retrievalBuild and maintain AI agents using modern frameworksGuide technical decisions around AI infrastructure and toolingMentor team members and establish AI engineering best practicesEvaluate emerging AI technologies and recommend adoption strategiesOptimize system performance and manage infrastructure costsCollaborate with stakeholders to translate business requirements into technical solutionsBuild innovative prototypes to vet new technologies and move the team forwardQualificationsRequired5+ years of software engineering experience with 2+ years in AI/MLExpert-level knowledge of prompt engineering for GPT-4 and Claude modelsProven experience building RAG systemsDeep expertise in Python and AI frameworks (LangChain, LangGraph, AutoGen, Crew.ai)Strong background in AI agent development and orchestrationExperience with vector databases (Pinecone, Pgvector, ChromaDB)Experience with REST API development using Django Rest Framework or similarProficiency in cloud infrastructure (AWS/Azure) and containerizationTrack record of deploying production AI systemsExperience leading technical teamsPreferredAdvanced degree in Computer Science, AI, or related fieldBackground in Cybersecurity applicationsContributions to open-source AI projectsBackground in ML/DL fundamentalsExperience with LLM fine-tuning and optimization recblid n261dus6cmp7ninz63gr73bvb2cjp8