Engineering Lead (AI)

TL;DR

Engineering Lead (AI): Leading and scaling the engineering function, driving innovation around multi-platform builds, and evolving internal processes around CI/CD, QA automation, observability, and DevOps. Focus on designing and building internal tools powered by AI to automate development, QA, and data workflows, and guiding architectural decisions across various products.

Location: San Francisco

Salary: $100K – $300K

Company

hirify.global is an AI Native Command Center for businesses that centralizes internal and external data with external insights to aid decision-making and predict the future.

What you will do

• Lead and scale the engineering function to ship high-quality features weekly.
• Drive innovation for multi-platform builds, including web, Chrome, and native mobile apps.
• Own and evolve internal processes for CI/CD, QA automation, observability, and DevOps.
• Design and build AI-powered internal tools to automate development, QA, and data workflows.
• Collaborate with Product to scope, plan features, break down technical work, and ensure quality.
• Mentor engineers and guide architectural decisions across web/mobile apps, AI agent, Chrome extension, and data platform.

Requirements

• 6–10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles.
• Familiarity across our tech stack (Node.js, Python, SQL, React, iOS, Android).
• Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles.
• Strong background in DevOps and QA best practices, including CI/CD pipelines and automated testing.
• Experience building and scaling data-rich products, including APIs, integrations, scraping tools, or cloud platforms.
• Actively look for ways to integrate LLMs and automation into engineering processes with an AI-native mindset.

Nice to have

• Background in data integration, CRM, sales/marketing tooling, or AI-first products.
• Experience with data science models and building AI/ML infrastructure.
• Strong cloud infrastructure skills (AWS, GCP, or Azure).
• Familiarity with building Chrome extensions, Mac apps, or multi-platform tooling.

Culture & Benefits

• Opportunity for ownership, influence, and to work at the intersection of AI, data, and business strategy.
• Fast-paced environment, executing in weekly sprints and building with purpose.
• Focus on high-impact work, tight feedback loops, and a role that touches product, customer, and data.