Backend Software Engineer

About the Role

Premier Global Links, LLC is recruiting software engineers for a growing AI technology company building enterprise AI platforms for engineering, life sciences, and other professional environments. This role offers the opportunity to build production systems that power AI agents, automated workflows, and large-scale training and evaluation datasets. You will work on challenging engineering problems involving distributed systems, data pipelines, model evaluation, and performance optimization. The team values strong technical ability, sound engineering judgment, and engineers who can take projects from initial requirements through implementation and production release.

Key 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.
• Take ownership of features from design and implementation through deployment and ongoing operation.

Requirements & Tech Stack

• Strong software engineering fundamentals.
• 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.

Qualifications

• 0–6 years of relevant experience.
• Degree in Computer Science, Engineering, or a related field; strong practical engineering ability is also valued.
• Ability to work on-site in the San Francisco Bay Area five days per week.

Preferred Qualifications

• 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.

Compensation

• Annual salary: $200,000–$400,000.
• Commission and highly competitive equity, as applicable to the role and compensation package.
• High ownership, direct technical impact, and a collaborative, low-micromanagement environment.

Final compensation will depend on experience, technical ability, and the overall offer structure.