Software Engineer (Backend)

Nace AI • Palo Alto, CA

8h

About The Position

Nace AI is an applied research and product company developing Sovereign Specialized Intelligence for professional services and enterprises. Its platforms, Nace Data Intelligence and Nace SLM Cloud, use Small Language Models and a metamodel framework to support secure, customized intelligence and end-to-end business process automation.

The role is described as a Full Stack Software Engineer responsible for developing, deploying, and maintaining infrastructure for advanced AI systems. The work spans backend services, user interfaces, AI-agent integration, and cloud infrastructure, with the goal of improving system efficiency, reliability, scalability, and user-facing capabilities. The position contributes to AI-agent frameworks and evaluation methods and collaborates across teams to deliver production-grade solutions.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical discipline, or equivalent practical experience.
• At least 3 years of experience building and maintaining full-stack software infrastructure, with expertise in frontend and backend development.
• Hands-on experience building AI agents, agent frameworks or orchestration systems, or complex LLM-powered applications and workflows, such as RAG pipelines, multi-agent systems, prompt chaining architectures, or LLM orchestration frameworks.
• Practical knowledge of cloud infrastructure management, such as Docker, Kubernetes, and Terraform, and CI/CD pipelines.
• Proven expertise designing, scaling, and optimizing enterprise-grade ML or data-intensive systems.

Nice To Haves

• Master’s or Ph.D. degree in Computer Science, Computer Engineering, or a related technical discipline.
• Demonstrated experience developing and managing large-scale distributed systems and high-throughput AI infrastructures.
• Expertise in a modern frontend framework such as React, Vue, or Angular, and associated state management libraries.
• Experience developing and deploying AI-agent evaluation frameworks, using tools such as LangSmith or Arize, or custom evaluation metrics.
• Demonstrated success building production LLM applications with complex workflows, such as autonomous agents, conversational AI systems, or intelligent automation platforms.

Responsibilities

• Architect, develop, and maintain scalable full-stack components, including frontend applications and backend services.
• Design and implement APIs and data pipelines for AI-agent deployment and interaction, as well as large-scale data-processing workflows.
• Contribute to core AI-agent frameworks, including tool integration, memory systems, and planning and orchestration modules.
• Develop AI-agent evaluation methodologies and tooling to test, benchmark, and monitor performance, reliability, and safety in production.
• Manage and optimize cloud infrastructure for high availability, cost efficiency, and scalability across application and AI compute resources.
• Participate in design discussions, code reviews, and cross-team collaboration to deliver production-grade solutions across the stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level