AI Engineer at Kandji

Miami, Florida, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, CybersecurityIndustries

Requirements

Highly skilled and experienced in AI engineering (Staff level)
Expertise in architecting, designing, and implementing scalable AI platform services and components for intelligent agents and LLM-powered applications
Proficiency in applying LLMs and other AI technologies to build and enhance intelligent features
Ability to build LLM-powered agents that autonomously reason through complex workflows
Experience developing full-stack product surfaces (backend & frontend) incorporating AI into user experiences
Familiarity with the AI development stack (RAG, vector databases, LLM observability, eval pipelines)
Experience partnering with Product Engineering teams to design ML-driven features that automate workflows
Skills in implementing scalable APIs and microservices exposing AI models and services
Ability to collaborate with core services infrastructure teams for execution, monitoring, logging, and automated evaluation of AI agents
Experience working closely with Data Science teams building LLMs/agents
Proficiency in integrating with multiple LLM providers (e.g., OpenAI, Anthropic, xAI, Google) and managing model selection, routing, and fallback strategies
Knowledge of best practices in AI privacy, security, and compliance, including secure data handling and regulatory adherence
Expertise in optimizing platform performance, scalability, and cost-efficiency using cloud-native technologies and distributed systems
Ability to stay current with advancements in AI infrastructure, agent-focused MLOps, and LLM applications

Responsibilities

Architect, design, and implement scalable AI platform services and components that enable development of intelligent agents and LLM-powered applications, supporting deployment and orchestration of LLMs and other AI models
Apply LLMs and other AI technologies directly to build and enhance Kandji’s intelligent features, collaborating with product and engineering teams
Build LLM-powered agents that autonomously reason through complex workflows
Develop full-stack product surfaces (backend & frontend) that incorporate AI into user experiences
Partner with Product Engineering teams to design ML-driven features that automate IT security workflows
Implement scalable APIs and microservices that expose AI models and services to product teams
Collaborate with core services infrastructure team to support execution, monitoring, logging, and automated evaluation of AI agents, ensuring high reliability and performance in production
Work closely with the Data Science team responsible for building LLMs/agents
Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, xAI, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost
Drive adoption of best practices in AI privacy, security, and compliance
Optimize platform performance, scalability, and cost-efficiency leveraging cloud-native technologies and distributed systems
Stay current with advancements in AI infrastructure, agent-focused MLOps, and LLM applications, applying innovations to enhance Kandji’s AI platform
Collaborate cross-functionally with product, frontend, and other teams

Skills

Key technologies and capabilities for this role

LLMsAI PlatformBackend SystemsScalable InfrastructureFrameworksServicesAI DeploymentMonitoringMachine Learning

Questions & Answers

Common questions about this position

What is the employment type for this AI Engineer role?

This is a full-time position.

Is this AI Engineer role remote or office-based?

This information is not specified in the job description.

What key skills are required for the Staff AI Engineer position?

The role requires expertise in architecting scalable AI platform services, applying LLMs and AI technologies, building LLM-powered agents, familiarity with the AI development stack including RAG and vector databases, and implementing scalable APIs and microservices.

What is the company culture like at Kandji?

Kandji emphasizes collaboration across engineering, product, and research teams to ensure secure, reliable, and optimized AI offerings while enabling innovation and experimentation.

What makes a strong candidate for this Staff AI Engineer role?

A strong candidate is highly skilled and experienced in building core AI platforms, applying LLMs to solve real user problems, and creating reusable infrastructure for scalable AI deployment.

Kandji

Unified platform for Apple device management

About Kandji

Kandji offers a platform specifically designed for managing and securing Apple devices in businesses. Their system allows companies to easily deploy secure devices, update software, and address vulnerabilities across all their devices. A key feature is the MigrationAgent, which simplifies the transition from older Mobile Device Management (MDM) solutions to Kandji's platform, requiring minimal user interaction. What sets Kandji apart from competitors is their deep knowledge of the Apple ecosystem and their dedicated customer support, with engineers available to assist users who have experience with Mac administration. The goal of Kandji is to help businesses strengthen their IT infrastructure and support their growth by providing effective device management solutions.

San Diego, CaliforniaHeadquarters

2018Year Founded

$280.5MTotal Funding

SERIES_DCompany Stage

Enterprise Software, CybersecurityIndustries

201-500Employees

Benefits

Health Coverage - 100% individual and dependent medical + dental + vision coverage

Flexible Spending Account

Equity for full-time employees

New MacBook Pro and software setup

Exciting opportunities for career growth

An outstanding, inclusive culture

4% 401(k) company match

Monthly Uber Eats meal credit

$1,000 Home Office Equipment Stipend

$50 monthly Internet reimbursement

Equipment discounts

Week long company shutdown, first week of August

10 Health and Wellness Days

12 weeks of Paid Parental Leave

14 Holidays

Risks

Increased competition from established players like Jamf could impact Kandji's market share.

Reliance on Apple makes Kandji vulnerable to major policy changes by the company.

Pressure from recent funding may lead to strategic missteps if not managed carefully.

Differentiation

Kandji specializes in Apple device management, offering a unified platform for businesses.

Their MigrationAgent simplifies transitions from old MDM solutions with minimal user interaction.

Kandji's 24/5 customer support features Mac admin-experienced engineers for peer-to-peer guidance.

Upsides

Kandji raised $100 million to accelerate innovation in Apple device management.

The introduction of AI-powered Kai enhances operational efficiency and user experience.

Growing demand for Apple device management aligns with Kandji's focus and expertise.

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