At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Software Engineer (Product) to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, turning innovative prototypes into scalable, high-performance enterprise solutions. You’ll build interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.
This is a rare opportunity to be at the center of the GenAI revolution, working on products that impact millions of users while developing core AI infrastructure for some of the world’s largest companies. If you're excited about pushing the boundaries of AI-driven product development, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
- Develop and refine features for Scale’s GenAI Platform, enabling businesses to build, deploy, and manage AI-driven agents with robust backend capabilities.
- Implement scalable APIs and services in Python, leveraging frameworks like FastAPI, to support real-time AI applications and large-scale data processing.
- Build and maintain full stack web applications using modern frameworks and technologies Next.js, React, TypeScript, and Tailwind
- Integrate AI models and evaluation systems, working closely with ML teams to enhance agent reasoning, response quality, and decision-making.
- Manage and optimize cloud infrastructure, ensuring high availability, performance, and security in AWS, Azure, or GCP environments.
- Ship features at a rapid pace, maintaining high code quality, observability, and performance across backend systems.
Ideally, You Have:
- 2+ years of experience developing backend or full-stack applications, with a strong emphasis on backend engineering.
- Strong proficiency in Python and backend frameworks such as FastAPI or Flask.
- Familiarity with frontend technologies (Next.js, React, TypeScript, Tailwind) with an eye for building polished, user-friendly interfaces
- Experience making trade-offs between speed and quality in fast-paced environments
- A passion for AI and experience working on AI-first applications, agent-based systems, or data-rich web platforms
- Strong cloud experience (AWS, Azure, GCP), including containerized deployments (Docker, Kubernetes) and cloud services (AWS Lambda, S3, DynamoDB, etc.).
- A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life
