Summary
✨ AI‑Generated
A technology company is looking for a software engineer to design and maintain backend services powering advanced AI applications. The role includes API development, data workflows, testing, debugging, and collaboration across technical teams.
Highlights
Build production AI systems in a collaborative engineering environment with opportunities to work on secure, scalable enterprise solutions.
Description
Company Description QuantumFabrics builds production-grade AI agents tailored for enterprise environments.
The company focuses on deploying AI agents directly inside client infrastructure to ensure data security and operational control.
Solutions are designed to be secure, compliant, and reliable for mission-critical business workflows.
QuantumFabrics works closely with enterprises to integrate AI systems that scale, perform consistently, and meet rigorous regulatory and governance standards.
Role Description This is a full-time, on-site Software Engineer role based in Los Angeles, CA.
The Software Engineer will design, build, and maintain backend services that power production AI agents, including APIs, data pipelines, and integrations with enterprise systems.
Daily responsibilities include writing clean, testable code, reviewing peer code, troubleshooting issues in staging and production environments, and collaborating with cross-functional teams such as product, data science, and DevOps.
The role involves participating in architecture discussions, improving system reliability and performance, and contributing to documentation and best practices to support secure and compliant deployments.
Qualifications
Strong foundation in Computer Science, including algorithms, data structures, and system designHands-on experience in Software Development and Programming in one or more modern languages (e.g., Python, Java, Go, or C++)Proficiency in Back-End Web Development, building and maintaining APIs and microservicesSolid understanding of Object-Oriented Programming (OOP) principles and design patternsExperience working with distributed systems, cloud or on-prem infrastructure, and security-conscious environmentsFamiliarity with AI/ML workflows, data pipelines, or integrating AI models into production systems is a plusBachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experienceAbility to work collaboratively on-site, communicate clearly with technical and non-technical stakeholders, and adapt in a fast-paced environment
