Senior Software Engineer I (AI)

Location: Hybrid role based in Ann Arbor, Michigan; other listed locations include Frisco, Texas; New York, New York; and Toronto, Ontario.

Base compensation: USD 94,900–176,300 for eligible US locations; USD 109,000–203,000 in specified higher-range US locations; CAD 105,000–155,000 for Ontario.

Company

hirify.global provides specialized software, trusted content, and insights for legal, tax, accounting, compliance, government, and media professionals.

What you will do

• Build and deliver full-stack features across React, TypeScript, and Python systems.
• Develop AI-powered capabilities, including agentic workflows, LLM integrations, and MCP/A2A-based tooling.
• Set standards for code quality, performance, accessibility, testing, and maintainability through hands-on development and reviews.
• Partner with product, design, and backend teams to shape requirements, define APIs, and deliver customer-facing experiences.
• Break down complex initiatives, estimate work, and support delivery from development through production.
• Mentor engineers through pairing, code reviews, and technical guidance.

Requirements

• 6+ years of professional software engineering experience building and shipping production web applications used by customers, including active hands-on coding during the last 2–3 years.
• Experience with modern frontend frameworks such as React, plus solid TypeScript and frontend architecture knowledge.
• Strong experience building APIs and services with Python as a core language.
• Working familiarity with prompt engineering, agentic system design, LLM orchestration frameworks, and MCP/A2A.
• Proven ability to lead through influence, improve systems, reduce technical debt, and guide architectural decisions.
• Experience optimizing web application performance through monitoring, profiling, and tuning for scale.
• Strong communication skills and the ability to collaborate in fast-paced, ambiguous environments.

Nice to have

• Hands-on production experience building AI-powered product features with LLM APIs, RAG pipelines, or agentic workflows.
• Familiarity with AI/ML infrastructure, including vector databases, model serving, and cost or latency optimization for LLM-powered features.

Culture & Benefits

• Flexible hybrid work environment for office-based roles.
• Work from anywhere for up to 8 weeks per year, alongside flexible work-life policies.
• Flexible vacation, two company-wide mental health days, paid holidays, sick and safe paid time off, parental leave, and sabbatical leave.
• Health, dental, vision, disability, and life insurance; retirement savings with company match; tuition reimbursement; and employee incentive programs.
• Learning and development programs, wellbeing resources, volunteer days, and opportunities for pro-bono and ESG initiatives.
• Annual bonus eligibility may depend on enterprise and individual performance.