Job Description
About Mindbeam
n 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
n Design and deliver AI solutions that enable enterprises to deploy, scale, and optimize generative AI workloads with speed, efficiency, and reliability.
Role Expectations
n
n
n
Architect and optimize end-to-end AI infrastructure solutions using Mindbeam's frameworks.
n
n
Develop integrations with channel partner technologies.
n
n
Guide clients through technical evaluations, deployments, and optimizations.
n
n
Collaborate with internal teams to align architecture with customer needs.
n
n
Present solutions clearly in client-facing engagements.
n
n
Background
n
n
n
Bachelor's or Master's degree in Computer Science, Engineering,
or related field—or equivalent work experience.
n
n
2+ years of experience in AI/ML architecture, implementation, or technical consulting.
n
n
Robust knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and distributed computing.
n
n
Hands-on expertise with Kubernetes (EKS/EC2), Docker, and cloud platforms (AWS, NVIDIA).
n
n
Familiarity with DevOps practices, security, and compliance in enterprise settings.
n
n
Excellent problem-solving skills in production environments.
n
n
About You
n 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.