Senior AI Productivity Engineer (AI)

Location: Remote within the United States; the department is based in Santa Clara, California.

Company

hirify.global develops high-performance scale-out networking solutions combining hardware, software, and system-level technologies for AI and HPC datacenters.

What you will do

• Own and operate a private, domain-aware AI platform for engineering teams working on drivers, firmware, ASICs, embedded systems, hardware/software integration, validation, and high-performance networking.
• Design, implement, and productionize autonomous engineering agents with FastAPI REST APIs, CLI interfaces, chat integrations, structured workflows, and tool connections.
• Maintain containerized Linux services, reverse proxies, systemd timers, PostgreSQL, Redis, secrets management, and integrations with GitHub, Jira, Confluence, and Microsoft Teams.
• Develop reliable agent skills, system instructions, prompt workflows, RAG capabilities, and model-routing strategies.
• Build CI/CD validation pipelines for configurations, credentials, agent contracts, and inner-source contributions.
• Manage platform cost and value through model selection, token usage analysis, observability, and recommendations to engineering leadership.

Requirements

• B.S. or M.S. in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Hands-on software development experience in Python or a comparable general-purpose programming language, including version control, testing, debugging, and code review.
• Practical experience developing, deploying, operating, or troubleshooting software in Linux.
• Hands-on experience implementing, integrating, extending, or operating Model Context Protocol clients, servers, tools, or workflows.
• Experience building AI agents or LLM-powered workflows that perform meaningful work through tools, APIs, structured workflows, files, databases, or external systems.
• Experience building or integrating a retrieval-augmented generation workflow grounded in documentation, code, databases, files, or other authoritative information.

Nice to have

• Platform architecture, software-system design, shell scripting, CI/CD, Docker or Podman, REST APIs, FastAPI, and workflow automation.
• Experience with GitHub, Jira, Confluence, Microsoft Teams, PostgreSQL, Redis, agent evaluation, observability, prompt engineering, or model selection.
• Background in embedded systems, firmware, semiconductors, ASICs, hardware/software integration, developer tools, internal platforms, or inner-source engineering.
• Experience operating production services, internal developer platforms, Microsoft Teams bots, or Power Automate.

Culture & Benefits

• Work in a fast-growing global organization spanning multiple U.S. states and six countries.
• Flexible remote work environment focused on applying AI reliably, securely, and cost-effectively to engineering workflows.
• Competitive compensation package including equity, cash, and incentives.
• Medical, dental, vision, disability, life, dependent care, accidental injury, and pet insurance.
• Paid holidays, sick time, bonding leave, pregnancy disability leave, Open Time Off, and a 401(k) with company match.