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Principal AI Engineer

United States, San Francisco - California

SpringCube

Full-time - Senior Engineer

IT Services & Consulting

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
An AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. The company enhances organizational cybersecurity through advanced threat detection, rapid response, and continuous protection.

Summary
As a Principal AI Engineer, you will be a technical leader responsible for designing, developing, and optimizing scalable AI systems. You will guide the architecture of AI-driven cybersecurity solutions, mentor engineering teams, and drive innovation across the organization.

Responsibilities

  • Design and build the AI layer for autonomous detection, RAG-backed investigation, and auto-remediation workflows
  • Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines processing billions of security events
  • Own evaluation and reliability, including prompt libraries, fine-tuning, red-team testing, latency management, and fallback strategies
  • Mentor and grow AI engineers, run design reviews, uphold code quality, and instill a security-first mindset
  • Collaborate with Product, Detection Engineering, and Customer Success to convert real-world attacker behavior into ML and rule-based detections
  • Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs)
  • Push technical boundaries to keep defenders ahead

Required Skills & Qualifications

Software Engineering & Architecture Expertise

  • 10+ years of experience in software development with modern languages (Python, Go, Rust, Java)
  • Deep knowledge of LLM architecture, prompt engineering, and vector database workflows
  • Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses
  • Strong understanding of microservices, containerization (Docker, Kubernetes), and event-driven systems
  • Fundamentals in API design (REST/gRPC) and distributed systems
  • Clear communication and collaborative problem-solving skills

Nice-to-Have

  • Experience in cybersecurity (SIEM, EDR, SOAR, MDR)
  • Familiarity with graph databases or security-focused knowledge graphs
  • Knowledge of cloud infrastructure security (AWS, GCP, Azure)
  • Leadership experience in high-growth startups or enterprise SaaS

Soft Skills

  • Strong problem-solving and analytical skills
  • Excellent communication and leadership abilities
  • Ability to mentor and influence teams
  • Passion for cybersecurity and automation

Education & Certifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, security credentials) are a plus

Why Join Us

  • Work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions
  • Collaborate with a talented and innovative team
  • Competitive salary and benefits
  • Growth-oriented culture with opportunities to expand knowledge in AI, cybersecurity, and emerging technologies

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist jobsite for Data, AI and ML engineers across the San Francisco Bay Area.

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SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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