Software Engineer - AI Platform New York, NY · Remote

Seibold GmbH; New York (NY); Remote; USD 170,000 - 225,000; Full time

Job summary

Join a forward-thinking company that is revolutionizing AI applications and infrastructure. As a Senior Software Engineer, you will architect cutting-edge solutions that enhance accessibility to AI for software builders globally. This role involves building and optimizing enterprise-grade AI models, designing real-time execution engines, and collaborating with customers to drive feature development. If you're passionate about AI and thrive in fast-paced environments, this position offers an exciting opportunity to make a significant impact in a dynamic team focused on innovation and excellence.

Qualifications

• 5+ years of experience in deploying production applications in the cloud.
• Strong knowledge of containers, virtual machines, and networking.

Responsibilities

• Build and optimize enterprise-grade AI models and workflows.
• Design a real-time distributed execution engine for AI applications.

Skills

Cloud Application Deployment

AI Model Optimization

Containerization

Machine Learning Algorithms

API Development

Real-time Distributed Systems

Tools

PyTorch

TensorFlow

Docker

Job description

Senior Software Engineer (Enterprise AI)

Superblocks is building the future of AI applications and infrastructure. Our mission is to make AI a step function more accessible to the mass market and enable 20x more software builders worldwide.

We’re looking for senior AI engineers to architect the next-generation real-time execution, deployment, governance, and auditing layer for AI applications and workflows. You’d be joining our all-star team with deep expertise in large-scale execution/data infrastructure, AI-native application architecture, database designs, and observability. If you love working in a collaborative, fast-paced, and customer-focused environment, this role is for you.

What you'll do:

• Build, deploy, and optimize enterprise-grade AI models and AI workflows in production.
• Design and develop a real-time distributed execution engine that powers all AI applications and agentic workflows.
• Implement scalable, robust architectures supporting multi-tenancy and hybrid on-premise deployments, complete with an API and security layer and a fully extensible integrations platform.
• Build strong connections by working directly with customers and design partners, gathering insights and feedback to drive the development of new features and enhance the platform's capabilities.
• Strategize with the product team to shape the future roadmap. Stay ahead of the curve by keeping up-to-date with the latest trends in AI.

You have:

• At least 5+ years of experience deploying and maintaining production applications in the cloud with extensive knowledge of containers, virtual machines, caches, task queues, networking, and operating systems.
• Bonus: Built and operated production AI systems and are familiar with AI inference techniques.
• Bonus: Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.
• A strong product instinct focused on delivering incredible user experiences to customers coupled with the ability to think strategically about the future to address market opportunities and customer needs.
• A winning mindset, you excel in fast-moving environments and are adept at starting and growing projects. You have a knack for tackling new challenges, finding innovative solutions, being unafraid of setbacks, and working collaboratively to achieve results.

Compensation for this role is $170,000 - $225,000 USD + a generous equity package.