Software Engineering Intern

Build and Deploy AI the right way, anywhere.

The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood.

Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.

If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem,
FlexAI is the place for you!

We’re looking for a Software Engineering Intern with an interest in distributed systems and AI infrastructure to join our engineering team. You’ll work on the foundational systems that power AI‑driven products, focusing on scalability, performance, and reliability. This role offers hands‑on experience building and operating backend infrastructure that supports model training, deployment, and inference at scale.

• Build and maintain backend services and infrastructure using Python, Go, or Java
• Develop and optimize systems for model serving, inference pipelines, and data processing
• Work on infrastructure components such as APIs, job orchestration, and distributed systems
• Improve system performance, reliability, and scalability across AI workloads
• Collaborate with engineers to design and implement robust, production‑grade systems
• Write clean, efficient, and well‑tested code and contribute to engineering best practices

• Currently pursuing a degree in Computer Science or a related field
• Strong programming skills in Python, Go, or Java
• Solid understanding of data structures, algorithms, and core systems concepts (e.g., concurrency, networking, memory management)
• Familiarity with backend systems and infrastructure fundamentals (APIs, services, system design basics)
• Interest in distributed systems and AI infrastructure
• Strong problem‑solving skills and ability to work in a fast‑paced environment

• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience working with model serving frameworks or inference systems
• Understanding of monitoring, logging, and observability tools
• Hands‑on projects involving infrastructure, backend systems, or AI platforms

• Basic Salary
• High ownership, fast execution, real impact
• Work on cutting‑edge AI infrastructure
• Build products used by developers and enterprises