Backend Software Engineer

Premier Global Links • San Francisco, CA

2d • Onsite

About The Position

Premier Global Links, LLC is recruiting a Backend Software Engineer for a growing AI technology company building enterprise AI platforms for engineering, life sciences, and other professional environments. The role involves building production systems that power AI agents, automated workflows, and large-scale training and evaluation datasets. The engineer will tackle problems involving distributed systems, data pipelines, model evaluation, and performance optimization, taking projects from initial requirements through implementation and production release.

Requirements

• Strong software engineering fundamentals; candidates with 0–6 years of relevant experience are welcome.
• Experience building and maintaining production software, including distributed systems, backend services, data pipelines, or performance-critical applications.
• Ability to take a project from initial requirements through implementation, release, and production support.
• Strong debugging, problem-solving, and technical decision-making skills.
• Ability to investigate unfamiliar systems and work independently in a fast-moving environment.
• Interest in AI agents, model inference, evaluation systems, and reliable AI applications.
• Ability to work on-site in the San Francisco Bay Area five days per week.

Nice To Haves

• Experience with AI agent workflows, LLM evaluation, synthetic data, or model inference.
• Experience building automation systems or large-scale data processing infrastructure.
• Background at an early-stage AI startup or a company building advanced AI products.
• Familiarity with distributed evaluation infrastructure and long-running background jobs.
• Experience using AI-assisted development tools such as Claude Code.
• Degree in Computer Science, Engineering, or a related field; strong practical engineering ability is also valued.

Responsibilities

• Design and build reliable, long-running AI agent workflows and supporting infrastructure.
• Develop and maintain backend services, distributed systems, and data pipelines.
• Build systems for task execution, model evaluation, and training dataset delivery.
• Improve production reliability, performance, resource utilization, and failure recovery.
• Investigate complex technical issues across codebases, services, and background workflows.
• Develop tools that help domain experts create, review, and evaluate AI-generated tasks.
• Collaborate with engineers, domain experts, and project leads to automate manual processes.
• Own features from design and implementation through deployment and ongoing operation.

Benefits

• Annual salary of $200,000–$400,000.
• Commission and highly competitive equity, as applicable to the role and compensation package.
• Opportunity to work on production AI infrastructure and enterprise-scale applications.
• High ownership, direct technical impact, and a collaborative, low-micromanagement environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed