Senior AI Software Engineer (SaaS)

TL;DR

Senior AI Software Engineer (SaaS): Building and optimizing AI-driven software and agentic workflows for customer experience platforms with an accent on LLM integration and production-grade system design. Focus on implementing prompt engineering, automating development lifecycles, and scaling AI-assisted coding standards.

Location: USA - Sandy, UT

Company

hirify.global is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide.

What you will do

• Design, build, test, and ship software across the full development lifecycle.
• Integrate AI coding tools and Agentic AI Workflows for code generation, review, testing, and documentation.
• Write clean, production-ready code and specification documents, leveraging AI as a partner.
• Collaborate with product managers, designers, and engineers to deliver working solutions.
• Apply prompt engineering and agentic coding techniques to improve output consistency.
• Evaluate and adopt new AI tools and help establish shared engineering standards for AI usage.

Requirements

• Solid experience in backend, frontend, or full-stack software development.
• Proficiency in modern programming languages, frameworks, APIs, and distributed systems.
• Hands-on professional experience using AI coding tools and LLMs in real development work.
• Practical knowledge of prompt engineering, agentic systems, and AI-assisted workflow automation.
• Deep understanding of LLM constraints, including context windows, token costs, and latency.
• Must be based in or able to work from Sandy, UT, USA.

hirify.global-to-have">hirify.global to have

• Experience in CX, contact center, or enterprise SaaS environments.
• Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products.
• Exposure to building or tuning agentic systems or multi-step AI pipelines.
• Experience contributing to shared tooling or developer experience (DevEx) improvements.

Culture & Benefits

• Environment where AI fluency is treated as a professional standard.
• Access to modern AI tools, frameworks, and dedicated space for experimentation.
• High level of ownership and trust to see work through to production.
• Culture of continuous improvement and clear growth paths into specialized roles.