4 days ago
Palo Alto, CA, USAMid Level
Responsibilities
- Architect, develop, and maintain scalable full-stack components across frontend applications and backend services.
- Design and implement APIs and data pipelines for AI agents and large-scale data-processing workflows.
- Develop AI agent frameworks covering tool integration, memory systems, and planning or orchestration.
- Build evaluation methodologies and tooling to test, benchmark, and monitor agent performance, reliability, and safety.
- Manage and optimize AWS, GCP, or Azure cloud infrastructure for application and AI compute workloads.
- Participate in design discussions, code reviews, and cross-team collaboration to deliver production-grade solutions.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.
- At least 3 years of experience building and maintaining full-stack software infrastructure.
- Hands-on experience building AI agents, agent frameworks, orchestration systems, or complex LLM-powered applications and workflows.
- Practical knowledge of Docker, Kubernetes, Terraform, and CI/CD pipelines.
- Expertise designing, scaling, and optimizing enterprise-grade ML or data-intensive systems.
- Preferred qualifications include a master’s or Ph.D. degree, large-scale distributed systems experience, high-throughput AI infrastructure experience, frontend framework expertise, AI agent evaluation experience, and production LLM application development.
Tech Stack
Categories
About Nace AI
Nace AI builds enterprise AI agents and long-horizon reasoning models that automate financial audit, accounting, and compliance workflows. Its flagship offering includes NAVI for real-time insights across audit, compliance, and operational intelligence, delivered as enterprise software to large organizations. Founded in 2024 and headquartered in Palo Alto, the company is backed by General Catalyst, Walden Catalyst, and Intel.