Senior AI Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Software Engineer (AI): Designing and shipping software across the full development lifecycle with an accent on integrating LLMs and Agentic AI Workflows into production systems. Focus on accelerating development via prompt engineering, building reliable AI-assisted pipelines, and establishing engineering standards for AI adoption.
Location: USA - Sandy, UT
Company
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.
- Implement Agentic AI Workflows for code generation, review, testing, and documentation.
- Develop clean, well-structured code and specification docs using AI as a partner.
- Collaborate with product managers and designers to deliver working solutions.
- Apply prompt engineering and agentic coding techniques to improve output consistency.
- Evaluate and adopt emerging AI tools to raise the team's engineering standards.
Requirements
- Solid experience in backend, frontend, or full-stack software development.
- Hands-on experience using AI coding tools in professional production environments.
- Practical knowledge of LLM constraints, including context windows, token costs, and latency.
- Proficiency in prompt engineering and evaluating prompts for reliable output.
- Strong understanding of distributed systems, APIs, and software design principles.
- Must be based in Sandy, UT, USA
hirify.global-to-have"> 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 improvements.
Culture & Benefits
- A team that treats AI fluency as a professional standard.
- Access to modern AI tools, frameworks, and the space to experiment.
- Real ownership and trust to make decisions and see work through to production.
- Culture of continuous improvement regarding both the product and the building process.
- Clear growth paths into specialized engineering roles.
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