Overview
We are seeking a skilled and motivated AI Platform Engineer (f/m/d) to join our team at PhariaAI. In this role, you will play a crucial part in helping our customers successfully deploy, operate, and scale the PhariaAI stack across on-premise and cloud environments. You will work directly with customers to understand their infrastructure requirements, drive secure and scalable operations, and ensure the reliable performance of AI workloads in production settings.
Your responsibilities
Helping our customers deploy and operate the PhariaAI stack in on-premise and cloud environments.
Gaining a deep understanding of customer infrastructure requirements to ensure a fast time-to-value.
Helping our customers secure the PhariaAI stack for critical production use cases. Ensure scalability and performance of PhariaAI operations by taking a holistic perspective across multiple layers of the solution.
Enable technical experts at our customer to deploy and operate PhariaAI self-sufficient towards defined SLOs.
Work closely together with our customer’s technology experts adopting a hands-on and solution-oriented mindset.
Your Profile
Basic Qualifications
You care about making something people want. You want to ship something that will bring value to users. You want to deliver AI solutions end-to-end and not only build a prototype.
Degree in Computer Science or a related field.
Experience with the Kubernetes ecosystem and tooling for package management (including Helm), containerization, monitoring and security.
Experience with deploying and operating LLMs for inference including managing compute constraints and working with LLM APIs. Familiarity with NVIDIA GPU Operator and NVIDIA hardware preferred.
Solid expertise in networking technologies, including HTTP proxies, routing mechanisms, and certificate management.
Solid experience with computing our cloud infrastructure providers like GCP, Azure, AWS, OpenStack, or VMWare, particularly in managing GPU-enabled compute resources.
Drive to implement AI innovations into real-world applications.
Excellent communication skills in English and German (preferred).
Preferred Qualifications
Experience with infrastructure-as-code tools like Terraform and cluster management tools.
Experience with fast-paced work environments and organizational growth.
What you can expect from us
Become part of an AI revolution!
30 days of paid vacation
Access to a variety of fitness & wellness offerings via Wellhub
Mental health support through nilo.health
Substantially subsidized company pension plan for your future security
Subsidized Germany-wide transportation ticket
Budget for additional technical equipment
Regular team events to stay connected
Flexible working hours for better work-life balance and hybrid working model
Virtual Stock Option Plan
JobRad® Bike Lease
