
Senior Software Engineer, Internal AI Ops
- Lehi, UT
- $129,900-208,000 per year
- Permanent
- Full-time
- Lead the design and development of scalable automation systems that simplify complex business problems.
- Architect AI-driven solutions, including prompt design, model integration, and workflow automation strategies.
- Partner with business stakeholders to analyze and re-engineer workflows, identifying high-value automation opportunities.
- Deliver technical leadership on projects, ensuring best practices in code quality, testing, and deployment.
- Mentor and guide junior engineers on the team in automation and AI integration techniques.
- Integrate AI/ML APIs and services to enable intelligent decision-making and operational efficiency.
- Monitor and optimize system performance, scalability, and reliability across automation pipelines.
- Stay ahead of industry trends and emerging AI/automation technologies to inform the team's roadmap.
- 5+ years of professional software development experience with a track record of delivering production-grade solutions.
- Strong proficiency in at least one core programming language (e.g., Python, JavaScript/TypeScript, or related framework).
- Demonstrable experience leveraging AI-powered development tools (e.g., Cursor AI, GitHub Copilot, Tabnine) for enhanced code generation, refactoring, debugging assistance, and overall development efficiency.
- Experience with any RDBMS
- Experience with API development and integrations.
- Experience with Generative AI tools
- Demonstrated experience with system design, architecture, and API integrations.
- Familiarity with AI concepts, prompt engineering, and large language models (LLMs).
- Strong analytical and problem-solving skills with the ability to design and implement scalable automation systems.
- Excellent communication skills and ability to collaborate effectively with technical and business stakeholders.
- Experience with cloud architecture (AWS, Azure, or GCP).
- Hands-on experience with workflow orchestration and automation tools (e.g., Zapier, n8n, Apache Airflow, or RPA frameworks).
- Advanced knowledge of AI/ML APIs and integration best practices.