Senior AI Engineer, Iru
Offers equity
More information about location
3 days a week in office (Coral Gables, FL)
Apple device management platform
Open for applications
Apple device management platform
201-500 employees
Open for applications
Offers equity
More information about location
3 days a week in office (Coral Gables, FL)
201-500 employees
Company mission
To harmonize technology and security through innovative software that powers secure and productive global work.
Role
Who you are
- Bachelorʼs or Masterʼs degree in Computer Science, Machine Learning, Data Science, or related field
- Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment
- Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions, with a strong understanding of their operational requirements
- Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP)
- Proficiency in agentic and orchestration frameworks (e.g., Langchain, CrewAI, pydantic-ai, LangGraph, Airflow, Kubeflow, Ray, or similar)
- Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development, and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation. Knowledge of MLOps tools (MLflow, Kubeflow) and practices
- Demonstrated ability to address AI privacy and security challenges, as well as compliance with data protection regulations
- Familiarity with RAG and its integration into AI-driven applications
- Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams
- Passion for staying at the forefront of AI infrastructure and applying new technologies to solve real-world problems at scale
What the job involves
- We are seeking a highly skilled and experienced Senior AI Engineer to join our Iru Platform Engineering team
- In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across Iru
- You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation
- In this role, you'll focus on creating reusable infrastructure, frameworks, and services that enable data scientists and software engineers to rapidly experiment, deploy, and monitor AI at scale
- Youʼll collaborate across engineering, product, and research teams to ensure Iruʼs AI offering is secure, reliable, and optimized for performance, while enabling innovation and experimentation
- Architect, design, and implement scalable AI platform services and components that enable the development of intelligent agents and LLM-powered applications, while supporting the deployment and orchestration of LLMs and other AI models
- Apply LLMs and other AI technologies directly to build and enhance Iruʼs intelligent features, working closely with product and engineering teams to deliver impactful solutions
- Build LLM-powered agents that autonomously reason through complex workflows
- Develop full-stack product surfaces (backend & frontend) that incorporate AI into user experiences
- Familiarity with the AI development stack (RAG, vector databases, LLM observability, eval pipelines)
- 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 our core services infrastructure team to support the execution, monitoring, logging, and automated evaluation of AI agents, ensuring high reliability and performance of AI services in production environments
- 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 the adoption of best practices in AI privacy, security, and compliance, including secure data handling, and regulatory adherence
- 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, and apply relevant innovations to enhance Iruʼs AI platform
- Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences
Our take
Device and application management is essential for the maintenance of an IT stack, with particular emphasis on frequent updating and compliance. This can be a laborious and repetitive task, so management software exists to automate these processes. However, existing solutions are generally aimed towards IT departments running on Windows.
Iru, formerly Kandji, provides a mobile device management platform that facilitates the remote maintenance of Apple-based IT stacks. Users can manage IT devices, applications, networking and compliance within a zero-touch automation system. The need for this service in companies using Apple hardware is clear: it has been adopted by major enterprises such as Belkin, Crunchbase and Notion.
As the Apple device management market is also expanding at speed, Iru is well poised to continue its run of success. It has raised significant funding across several rounds, the latest of which came in 2024 and helped it launch its new AI-powered unified IT and security platform. This new product signifies a new approach to IT and security management and exemplifies Iru's ability to continuously innovate its market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2024
$100m
SERIES D
Nov 2021
$100m
SERIES C
Total funding: $288.4m
Company 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% 401k 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
Company HQ
Downtown San Diego, San Diego, CA
Leadership
Adam Pettit
(Founder & CEO)They started their career in Solutions at Apple before working as President of AMP Consulting and spending 9 years as CEO of Interlaced, which they founded. They left to found Kandji in 2018 as CEO.
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