nace.ai logo

Backend Software Engineer at nace.ai | Palo Alto, CA

nace.aiPalo Alto, CA
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Experience

Qualifications

Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. A minimum of 3 years of experience in building and maintaining full-stack software infrastructure, demonstrating proficiency in both frontend and backend development. Hands-on experience in developing AI agents, frameworks, or complex applications powered by LLMs (e.g., RAG pipelines, multi-agent systems, or orchestration frameworks). Practical knowledge of cloud infrastructure management including tools like Docker, Kubernetes, and Terraform, along with CI/CD pipelines.

About the job

Join us as a Backend Software Engineer at nace.ai, where you will play a critical role in crafting, deploying, and maintaining the comprehensive infrastructure for our cutting-edge AI systems. Your primary focus will be on designing resilient backend services, developing intuitive and high-performance user interfaces, and ensuring the flawless integration of LLM-based AI Agents. Your contributions will effectively bridge frontend user experiences with backend scalability and core AI infrastructure, significantly enhancing system efficiency, reliability, and user-facing functionalities.

Key Responsibilities:

  • Design, develop, and maintain scalable full-stack components, encompassing both frontend applications (utilizing frameworks such as React, Vue, or Angular) and robust backend services (using Python, Go, or Node.js).

  • Create and implement APIs and data pipelines that enable seamless deployment and interaction of advanced AI Agents along with large-scale data processing workflows.

  • Contribute to the evolution of core AI agent frameworks, focusing on essential features like tool integration, memory systems, and planning/orchestration modules.

  • Develop and implement methodologies for evaluating AI Agents to rigorously assess, benchmark, and monitor agent performance, reliability, and safety in live environments.

  • Oversee and optimize cloud infrastructure (e.g., AWS, GCP, Azure) to ensure high availability, cost-effectiveness, and scalability for both application layers and the underlying AI compute resources.

  • Engage actively in design discussions, code reviews, and cross-functional collaboration to deliver high-quality, production-ready solutions across the entire tech stack.

About nace.ai

nace.ai is at the forefront of AI innovation, dedicated to developing intelligent solutions that enhance operational efficiency and elevate user experience. Our team thrives on collaboration and creativity, pushing the boundaries of technology to deliver exceptional AI-driven products.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.