Staff AI Engineer, People Technology (AI)

TL;DR

Staff AI Engineer, People Technology (AI): Building AI-powered systems to support hirify.global' global workforce and People programs with an accent on intelligent workflows and data products. Focus on creating scalable data pipelines, automation, and AI-powered workflows that drive operational efficiency and deliver actionable insights for People leaders.

Location: Remote (US)

Salary: USD $174,986 - USD $209,983

Company

hirify.global is a remote-first, open-source powerhouse with more than 20M users of Grafana around the globe.

What you will do

• Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team.
• Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems.
• Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows.
• Partner with People Analytics to ensure AI systems operate on well-governed, high-quality datasets and align with established workforce metrics and data models.
• Collaborate with People partners to translate business problems into scalable technical solutions.
• Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements.

Requirements

• 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows.
• Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics.
• Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms.
• Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure.
• Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data.
• Ability to partner with both technical and non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions.

Nice to have

• Experience working with HR technology ecosystems such as Workday, Greenhouse, and learning platforms.
• Background in People Analytics or workforce analytics platforms.
• Experience building internal AI tools, copilots, or automation agents for business teams.
• Familiarity with workflow automation platforms (Zenphi, n8n, Workato, Zapier, Make, etc.).
• Experience working in high-growth SaaS or distributed organizations.
• Contributions to AI governance frameworks, responsible AI standards, or open-source AI tooling.

Culture & Benefits

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Balance is Key - We operate a global annual leave policy of 30 days per annum.