Software Engineer (Backend), Enterprise

At Scale AI were not just building AI toolswere 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.

Were looking for a Backend Engineer to help bring large-scale GenAI systems to this role youll build the core infrastructure that powers AI products for some of the worlds largest enterprisesdesigning scalable APIs distributed data systems and robust deployment pipelines that enable production-grade reliability and performance.

This is a rare opportunity to be at the center of the GenAI revolution solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If youre excited about shaping how AI systems are deployed and scaled in the real world we want to hear from you.

At Scale we dont 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 scale backend systems that power enterprise GenAI products focusing on reliability performance and deployment across both Scales and customers infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing inference and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency throughput and costensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS Azure or GCP) driving automation observability and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs model serving systems and evaluation frameworks.
• Continuously improve reliability and scalability applying strong engineering practices to make AI systems robust maintainable and enterprise-ready.

Ideally You Have:

• 4 years of experience developing large-scale backend or infrastructure systems with a strong emphasis on distributed services reliability and scalability.
• Proficiency in Python or TypeScript with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI Flask Express or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred) including container orchestration (Kubernetes Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL DynamoDB etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications model integration or AI agent systemsunderstanding how to deploy evaluate and scale AI workloads in production.
• Strong understanding of observability CI/CD and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality shipping reliable backend systems in fast-paced environments.

Collaborative mindset working closely with ML infra and product teams to bring complex GenAI systems into production at enterprise scale.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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