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AI Infrastructure Leader
2 weeks ago
At the forefront of revolutionizing customer experience, we are seeking a visionary leader to spearhead our next-gen AI infrastructure.
The successful candidate will be responsible for building and managing a high-performing team of engineers to deliver cutting-edge Large Language Model (LLM) applications. This includes designing, rolling out, and optimizing our LLM Proxy, ensuring safe, observable, and cost-efficient access to multiple foundation models.
As an Engineering Manager, you will partner with existing ML/AI leadership to continually improve software delivery and service reliability. You will collaborate with applied ML, product, and infrastructure teams to align platform investments with AI roadmap priorities.
A strong engineering culture is paramount in this role, where you will foster a team environment that emphasizes mentorship, inclusion, and technical excellence.
We are looking for a seasoned professional with a proven track record of managing high-performing engineering teams in the ML/AI or infrastructure space. A deep understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools is essential.
The ideal candidate will have experience owning the full lifecycle of ML/AI platform components – from early design to production deployment. Strong communication skills and the ability to influence technical direction across teams and partners are also required.
We offer a dynamic work environment, flexible working hours, professional development funds, comfortable office and remote setup, choice of laptop and equipment, and premium medical insurance.
In this hybrid role, you will have the flexibility to work remotely for part of the week while still being connected to our local office community. This is an exciting opportunity to join a forward-thinking organization that values diversity, equity, and inclusion.
Key Responsibilities:
Lead a high-performing team of AI/ML platform engineers
Owning the design, rollout, and optimization of Zendesk's LLM Proxy
Collaborate with existing ML/AI leadership to improve software delivery and service reliability
Partner with applied ML, product, and infrastructure teams to align platform investments
Foster a team culture emphasizing mentorship, inclusion, and technical excellence
What We Offer:
Full ownership of projects
Opportunity to make a significant impact
Dynamic work environment
Flexible working hours
Professional development funds
Comfortable office and remote setup
Choice of laptop and equipment
Premium medical insurance
Our Tech Stack:
Python code
AWS servers
LLM vendors: OpenAI, Anthropic, Google, Llama
Infra: Kubernetes, Docker, Kafka, AWS
Why Join Us:
Make a difference in customer experience
Work on cutting-edge technology
Collaborative and inclusive team environment
Opportunity to learn and grow