Safe Security · 2 days ago
Principal Engineer - AI
San Jose, CA
Full-time
Onsite
Lead/Staff
$250K/yr - $300K/yr
12+ years expSAFE Security is committed to building CyberAGI, a system that autonomously predicts, detects, and remediates cybersecurity threats. As a Principal Engineer - AI, you will lead the technical direction of AI systems for various products, collaborating with teams to design scalable and enterprise-ready solutions.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologyNetwork SecurityRisk Management
Responsibilities
Architect Safe’s AI Systems: Design and scale AI-driven components — LLM orchestration, retrieval-augmented generation (RAG), vector stores, prompt pipelines, and AI microservices. Drive architecture for AI observability, safety, and evaluation (precision, recall, F1, hallucination detection, cost metrics)
Productionize AI Agents: Build multi-turn, goal-oriented agent systems that automate reasoning across TPRM, CTEM, and CRQ domains (e.g., control reviews, issue RCA, automated responses). Ensure reliability, traceability, and deterministic behavior in production
AI Infrastructure & Platform Ownership: Partner with Platform & DevOps teams to operationalize model serving (AWS SageMaker, Bedrock, or self-hosted Llama), build AI APIs, and manage model lifecycle and versioning. Establish feature stores, embedding management, and in-memory retrieval layers
Data Pipeline & Knowledge Graph Integration: Work with Data Engineering to design pipelines for structured and unstructured data ingestion, semantic indexing, and context retrieval (Snowflake + Iceberg + LlamaIndex)
AI Evaluation, Monitoring & Governance: Define internal frameworks for golden dataset validation, LLM evaluation (LangFuse/LangSmith), and safety enforcement policies. Implement human-in-the-loop (HITL) mechanisms and continuous feedback loops
Mentor & Multiply: Guide AI and backend engineers on architectural design, experimentation methodologies, and prompt optimization. Collaborate with product leaders to translate abstract AI goals into measurable engineering deliverables
Qualification
Required
12+ years total experience in software engineering, including 4+ years building AI/ML systems or large-scale data/LLM infrastructure
Strong programming fundamentals in Python, Go, or TypeScript
Deep understanding of LLM-based architectures, prompt engineering, and RAG pipelines
Hands-on experience with LangChain, LlamaIndex, or equivalent orchestration frameworks
Vector databases (FAISS, Pinecone, Weaviate, Redis Vector, or Milvus)
Cloud model deployment (AWS SageMaker, Bedrock, Vertex AI, or custom inference APIs)
Data systems: Snowflake, Iceberg, S3, Postgres/MySQL
Familiar with model versioning, CI/CD for ML, and performance optimization for real-time inference
Practical understanding of evaluation metrics, hallucination detection, RAG reliability, and enterprise AI safety
Preferred
Experience integrating AI into cybersecurity or risk management products
Familiarity with multi-agent systems and autonomous workflows (CrewAI, LangGraph, AutoGen)
Experience building AI evaluation dashboards and AI observability stacks
Knowledge of knowledge graphs, semantic search, or retrieval pipelines
Exposure to data governance, compliance, or SOC2/ISO 27001 environments
Published research, open-source contributions, or prior leadership of AI teams is a strong plus
Benefits
Health, dental, and vision insurance
401(k)
Flexible paid time off
Life insurance
Opportunities for professional growth
Company
Safe Security
Safe Security provides cyber risk management solutions to quantify and manage enterprise‑wide cyber risk in real time.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$212.96MKey Investors
Avataar Venture PartnersBTMS&AD Ventures
2025-07-31Series C· $70M
2023-04-18Series B· $50M
2021-07-21Series A· $33M
Leadership Team
Saket Modi
Co-Founder and CEO
Rahul Tyagi
Co-Founder
Recent News
solutionsreview.com
2025-11-23
2025-11-04
Company data provided by crunchbase