Backend Engineer - AI Data Platforms (Hybrid/Remote)

Premier Global Links LLC; San Mateo (CA); Hybrid; USD 250,000 - 300,000; Full time

Job summary

Premier Global Links LLC is seeking an experienced Senior Backend Engineer to join our fast-growing technology team building AI-powered business intelligence solutions. This role requires strong backend engineering experience and expertise in scalable data systems.

You will develop backend applications in Python and TypeScript, scale data pipelines, collaborate with product, leadership, and customers, and help shape architecture and engineering roadmap in a hybrid Bay Area environment.

Qualifications

• Bachelor's degree in a related technical field.
• 4+ years of professional backend engineering experience.
• Experience with large-scale data pipelines.
• Strong Python and TypeScript skills.
• U.S. work authorization and Bay Area relocation ability.

Responsibilities

• Build and scale data pipelines for latency-sensitive analytical workloads.
• Design secure, cost-efficient, and scalable backend systems.
• Develop backend applications using Python and TypeScript.
• Collaborate with engineering teams, product leaders, founders, and customers.
• Help shape product strategy, architecture, and roadmap decisions.
• Establish engineering practices and scalable infrastructure.
• Address complex backend and data engineering challenges as the platform grows.
• Work across the product and codebase in a hands-on environment.

Skills

Backend engineering

System design

Problem-solving

Communication

4+ years experience

Education

Bachelor's degree in a technical field (CS/EE/Physics/Math/Statistics)

Tools

Python

TypeScript

Job description

Premier Global Links LLC is seeking an experienced Senior Backend Engineer to join our fast-growing technology team building AI-powered business intelligence solutions. This role requires strong backend engineering experience and expertise in scalable data systems.

You will develop backend applications in Python and TypeScript, scale data pipelines, collaborate with product, leadership, and customers, and help shape architecture and engineering roadmap in a hybrid Bay Area environment.