AI Software Engineer (Agentic AI)

TL;DR

AI Software Engineer (Agentic AI): Building and maintaining infrastructure and tooling for an end-to-end evaluation ecosystem for agentic AI frameworks with an accent on deployment, data pipelines, and observability. Focus on automating evaluation pipelines for performance, reliability, and regression detection while collaborating with global engineering teams.

Location: Must be based in the US (Santa Clara, CA; Folsom, CA; or Hillsboro, OR). This role follows a hybrid work model.

Salary: $133,410–$240,710 USD

Company

hirify.global is a global technology leader focused on advancing computing, cloud, and AI solutions to solve complex global challenges.

What you will do

• Build and maintain scalable deployment and orchestration systems for AI workloads.
• Develop data pipelines, dashboards, and observability tooling.
• Integrate and evaluate AI agent frameworks and model-serving systems.
• Design and automate evaluation pipelines for performance, reliability, and regression detection.
• Collaborate with global engineering teams to improve AI evaluation tooling.

Requirements

• Must be based in the US.
• Bachelor's degree in a STEM field with 3+ years of experience, or Master's with 6+ months of experience.
• Proficiency in one of the following: Python, C++, TypeScript, Rust, or Go.
• Experience with containerized development (Docker, Linux, command-line tooling).
• Experience with REST APIs, HTTP integrations, and SQL (SQLite, PostgreSQL).
• Experience with AI agents, LLMs, or modern AI infrastructure.

Nice to have

• Experience with CI/CD systems like GitHub Actions or Jenkins.
• Familiarity with model serving tools such as Ollama, llama.cpp, or vLLM.
• Experience with infrastructure-as-code (Ansible, Terraform).
• Knowledge of performance profiling (CPU/GPU monitoring).
• Contributions to open-source agent frameworks.

Culture & Benefits

• Competitive total compensation package including pay and stock bonuses.
• Comprehensive health, retirement, and vacation benefit programs.
• Hybrid work model allowing flexibility between on-site and off-site work.
• Commitment to diversity, inclusion, and ethical hiring practices.