Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Leading the technical direction for an AI agent building platform, enabling customers to create and optimize AI agents with an accent on defining technical strategy, scaling capabilities, and transforming complex engineering into intuitive products. Focus on creating AI-powered tools, building monitoring/analytics for insights, and mentoring engineers.

Location: On-site in New York City or San Francisco

Salary: $300,000 – $430,000 USD base + Equity

Company

hirify.global is the leading conversational AI platform empowering every brand to deliver concierge customer experience.

What you will do

• Drive technical direction for the Agent Building platform, establishing patterns and architecture that scale with customer base and features.
• Lead complex initiatives from ambiguous requirements to shipped products.
• Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows.
• Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve.
• Partner directly with customers and cross-functional teams to identify opportunities and validate product direction.
• Mentor engineers and elevate team practices through code review, technical design, and knowledge sharing.

Requirements

• 6+ years building full-stack software products, with demonstrated impact on technical direction and strong product thinking.
• Deep expertise in TypeScript and/or Python, with strong architecture and system design skills.
• Proven ability to design abstractions and platforms that serve diverse use cases elegantly.
• Track record of leading technical initiatives and driving consensus across teams.
• Experience balancing technical excellence with rapid iteration and customer needs.
• Strong product intuition and history of translating user feedback into technical solutions.
• History of mentoring engineers and establishing technical standards.

Nice to have

• Experience building and scaling developer tools, APIs, platforms, or infrastructure products.
• Familiarity with LLMs, AI agent systems, prompt engineering, or building products on top of AI capabilities.
• Familiarity with asynchronous programming and building scalable systems.
• Experience with observability, data visualization, or analytics products.
• History of establishing technical standards, design patterns, or architectural principles adopted across teams.

Culture & Benefits

• Medical, dental, and vision benefits.
• Take what you need vacation policy.
• Daily lunches, dinners and snacks in the office.