Backend Engineer Jobs at AI Companies
Backend Engineers at AI companies build the APIs, services, and infrastructure that power AI products at scale. These roles involve designing high-throughput systems for model serving, building reliable APIs for millions of users, and creating the backbone that connects AI capabilities to real-world applications.
Last updated: June 27, 2026
Latest Backend Engineer Jobs at AI Companies
View all jobsStaff Backend Engineer
Backend Engineer (Go)
Senior Software Engineer (Backend)
Backend + AI Engineer
Senior Backend Software Engineer
Head of Backend
Backend Developer
Senior/Staff Backend Engineer
Backend Engineer
Principal Backend Engineer - Identity & Security Infrastructure
Sr. Backend Engineer (Hybrid)
Backend Engineer III (Hybrid, NYC)
Senior Backend Engineer (Java)
Senior Backend Engineer
Senior Backend Engineer
Senior Backend Engineer
Senior Backend Engineer for Creators group (Node.js/TypeScript)
Senior Backend Engineer, Gitlab Delivery: Zero Downtime Upgrades
Senior Backend Engineer (Java & APIs REST)
Staff Software Engineer, Backend
Frequently Asked Questions
What does a Backend Engineer do at an AI company?
Backend Engineers at AI companies build the API layers, microservices, and data infrastructure that power AI products. This includes designing high-throughput inference APIs, managing model serving infrastructure, building rate limiting and authentication systems, and creating the data pipelines that feed production AI systems. Unlike pure ML roles, backend engineers focus on reliability, scalability, and performance — ensuring that AI capabilities are delivered to users with low latency and high availability. Common technologies include Python, Go, Rust, PostgreSQL, Redis, and Kubernetes.
What is the salary for backend engineers at AI companies?
Backend engineers at top AI companies earn $140K-$220K at mid-level and $200K-$350K+ for senior roles, with total compensation often exceeding these ranges due to equity in high-growth AI startups. Companies like Anthropic, OpenAI, and xAI are known for premium compensation packages. The AI company premium reflects both the complexity of the systems being built and the competitive talent market. Remote backend roles at AI companies are increasingly common, with many offering location-independent salary bands.
Do I need ML/AI experience for a backend role at an AI company?
No — most backend roles at AI companies do not require ML expertise. What they need are strong fundamentals in distributed systems, API design, database optimization, and infrastructure management. Experience with high-throughput, low-latency systems is especially valued since AI products often involve real-time inference. Familiarity with Python is a plus since it's the lingua franca of AI teams, but Go, Rust, and Java are also commonly used. Understanding basic AI/ML concepts helps you collaborate effectively with ML teams but is not a hiring requirement.
AI Job Insights for Backend Engineer Jobs at AI Companies
Salary Range (Yearly, USD)
$12K - $500K
Median $160K from 40 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
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