Full Stack Software Engineer (AI)

Location: Palo Alto, CA, United States; on-site

Company

hirify.global is an early-stage applied research and product company building secure, customized intelligence through small language models, metamodels, data intelligence, and an SLM cloud platform.

What you will do

• Architect, develop, and maintain scalable frontend applications and backend services across the full stack.
• Design APIs and data pipelines for AI agent deployment, interaction, and large-scale data processing workflows.
• Develop AI agent frameworks covering tool integration, memory systems, and planning/orchestration modules.
• Build evaluation methodologies and tooling to test, benchmark, and monitor agent performance, reliability, and production safety.
• Manage and optimize cloud infrastructure for availability, cost efficiency, scalability, and AI compute requirements.
• Participate in design discussions, code reviews, and cross-team collaboration to deliver production-grade solutions.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical discipline, or equivalent practical experience.
• 3+ years of experience building and maintaining full-stack software infrastructure, with expertise in both frontend and backend development.
• Hands-on experience building AI agents, agent frameworks or orchestration systems, or complex LLM-powered applications and workflows such as RAG pipelines, multi-agent systems, prompt chaining, or LLM orchestration.
• Practical knowledge of cloud infrastructure management, including Docker, Kubernetes, or Terraform, and CI/CD pipelines.
• Proven expertise designing, scaling, and optimizing enterprise-grade ML or data-intensive systems.

Nice to have

• Master’s or Ph.D. degree in Computer Science, Computer Engineering, or a related technical discipline.
• Experience developing and managing large-scale distributed systems and high-throughput AI infrastructure.
• Expertise in a modern frontend framework such as React, Vue, or Angular and associated state management libraries.
• Experience developing and deploying AI agent evaluation frameworks using tools such as LangSmith, Arize, or custom evaluation metrics.
• Success building production LLM applications with autonomous agents, conversational AI systems, or intelligent automation platforms.

Culture & Benefits

• Full-time, on-site work within the Engineering department.
• Opportunity to join an early-stage AI company and help build its AI team and product direction.
• Work focused on applied AI systems that automate professional services workflows and improve enterprise efficiency.