About Mindbeam
We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level.

Mission
Design and deliver AI solutions that enable enterprises to deploy, scale, and optimize generative AI workloads with speed, efficiency, and reliability.

Role Expectations

• Architect and optimize end-to-end AI infrastructure solutions using Mindbeam’s frameworks.

• Develop integrations with channel partner technologies.

• Guide clients through technical evaluations, deployments, and optimizations.

• Collaborate with internal teams to align architecture with customer needs.

• Present solutions clearly in client-facing engagements.

Background

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field—or equivalent work experience.

• 2+ years of experience in AI/ML architecture, implementation, or technical consulting.

• Strong knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and distributed computing.

• Hands-on expertise with Kubernetes (EKS/EC2), Docker, and cloud platforms (AWS, NVIDIA).

• Familiarity with DevOps practices, security, and compliance in enterprise settings.

• Excellent problem-solving skills in production environments.

About You
You combine technical depth with strong communication skills, making you a trusted partner to both engineers and executives. You approach challenges with curiosity, creativity, and a willingness to experiment boldly.