Lead AI Engineer, JupiterOne
Cybersecurity asset management solutions
Be an early applicant
Cybersecurity asset management solutions
21-100 employees
Be an early applicant
21-100 employees
Company mission
To deliver knowledge, transparency, and confidence to every digital operation in every organization, large or small.
Role
Who you are
- 2+ years working with large language models (OpenAI, Anthropic, open-source) in production
- 4+ years building and deploying AI/ML systems in production environments
- Deep experience with agentic AI frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration
- Hands-on experience with RAG architectures, vector databases, and embedding systems
- Strong understanding of graph databases (e.g. Neo4j) and graph query languages (Cypher)
- Experience building AI systems that reason over graph data and complex relationships
- Knowledge of graph algorithms and how to apply them in AI contexts
- Experience with high-volume data processing and distributed systems
- Expert-level system design skills for building scalable, distributed AI applications
- Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Strong background in API design and building robust, well-documented interfaces
- Experience with streaming data systems (Kafka, Kinesis) and event-driven architectures
- Proficiency in Python and modern AI/ML libraries (LangChain, LlamaIndex, Transformers)
- Strong TypeScript/JavaScript skills for full-stack AI application development
- Experience with infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines
- Knowledge of software architecture patterns and design principles
Desirable
- Background in cybersecurity, threat modeling, or infrastructure security
- Experience with security data formats and threat intelligence feeds
- Understanding of compliance frameworks (SOC2, ISO, HIPAA) and security controls
- Experience with monte-carlo simulations and building models for risk quantification
- Experience with fine-tuning and optimizing LLMs for domain-specific tasks
- Knowledge of prompt engineering and advanced LLM techniques
- Familiarity with AI safety and alignment best practices
- Experience with model evaluation and monitoring in production
- Experience leading technical teams and mentoring engineers
- Track record of shipping AI-powered products from conception to production
- Strong communication skills for explaining complex AI systems to diverse stakeholders
What the job involves
- As a Lead AI Engineer, you will architect and build the core AI systems that power our next-generation agentic security platform
- You'll be responsible for designing scalable AI infrastructure that can process millions of assets and billions of relationships while delivering sub-2-second response times to users
- Design and implement agentic AI architectures using frameworks like LangGraph, CrewAI, or similar multi-agent orchestration platforms
- Build graph-aware AI systems that leverage JupiterOne's knowledge graph for context-aware reasoning and decision making
- Implement advanced RAG pipelines that intelligently traverse graph relationships to provide contextual security insights
- Integrate Model Context Protocols (MCPs) to enable seamless AI-to-system communication
- Develop intelligent query translation engines that convert natural language to complex graph queries
- Build workflow automation systems that can execute multi-step security remediation tasks
- Design API layers that enable seamless integration between AI agents and external security tools
- Implement event-driven architectures for real-time security monitoring and response
- Ensure lightning fast response times for AI-powered conversations across millions of assets
- Design fault-tolerant systems with 99.9% uptime SLA for production AI workloads
- Implement comprehensive monitoring and observability for AI system performance and accuracy
- Build auto-scaling infrastructure that handles variable AI workloads efficiently
Our take
Cyber security can be highly complex for many businesses. JupiterOne solves this problem with its innovative cyber asset attack surface management (CAASM) platform.
JupiterOne's platform offers users visibility and security, allowing them to protect and monitor their cyber assets. The platform collects and monitors everything from code to cloud resources, and monitors them automatically. This approach allows businesses to make better data-driven decisions.
JupiterOne has received widespread recognition, and its work has garnered multiple awards and secured partnerships with the likes of external attack surface management software company watchTowr. This is a testament to the company's potential and scalability.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jun 2022
$70m
SERIES C
May 2021
$30m
SERIES B
Total funding: $119m
Company benefits
- Medical, Dental, Vision Insurance etc
- Flexible PTO
- Maternity & Paternity Paid Leave
- Reimbursement for Gym Memberships and/or Fitness Equipment
- Wellness Program Offerings
- 401(k), Life Insurance, Short and Long Term Disability
- Paid Holidays, including JupiterOne Day on July 21st
- Generous Employee Referral Program
Company HQ
Morrisville, NC
Leadership
Erkang Zheng
(Founder & Chairman)Previously worked as Head of Software Security at Fidelity Investments, and was CISO at LifeOmic. Is a Member of the Forbes Technology Council.
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