Senior Backend Engineer (AI)

TL;DR

Senior Backend Engineer (TypeScript/Node): Building and optimizing core backend systems and infrastructure for AI agent workflows and context-enriched code reviews with an accent on scalability and distributed systems. Focus on integrating LLM-based systems into product workflows and architecting high-performance APIs for developer tools.

Location: Hybrid in San Francisco (Bay Area)

Salary: $185,000 – $275,000 + Equity

Company

hirify.global is an AI research and development company creating Gen AI-driven code reviewers to enhance software development efficiency through human-machine collaboration.

What you will do

• Architect and build scalable backend services, APIs, and distributed systems.
• Collaborate with ML engineers to integrate models into agent-based systems and autonomous AI products.
• Own architectural decisions for new product features and ensure system security and reliability.
• Mentor junior engineers through technical reviews and guidance.
• Develop infrastructure that powers AI agent workflows and repo-level planning tools.

Requirements

• 5+ years of experience building backend systems and distributed infrastructure.
• Fluency in TypeScript and Node.js or a similar modern backend stack.
• Experience with microservices, async job queues, and event-driven architectures.
• Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
• Must be based in the San Francisco Bay Area for weekly in-person collaboration.

Nice to have

• Experience with code search, code graphs, tree-sitter, or static analysis tools.
• Experience integrating AI/LLM-based systems into product workflows.
• Contributions to open-source or community projects.
• Experience designing autonomous or task-driven AI agents.

Culture & Benefits

• Competitive compensation package including strong salary and equity.
• Hybrid work culture combining weekly in-person collaboration with flexible remote work.
• High level of ownership, managing projects end-to-end from proposal to production.
• Collaborative environment working alongside AI researchers and product thinkers.
• Investment in professional growth through mentorship and responsibility.