Senior AI Transformation Engineer (AI)

Location: Austin, United States; hybrid work with office attendance generally Monday through Thursday and flexible remote work on Fridays

Estimated annual base salary for California: $242,200–$486,000 USD

Company

hirify.global is a public TV streaming platform connecting consumers, content publishers, advertisers, and the broader television ecosystem.

What you will do

• Drive AI deployments from discovery and scoping through system design, production rollout, and adoption.
• Embed with business and technical teams to identify high-value opportunities for agentic automation.
• Design, build, test, and deploy production-grade agentic AI applications and integrations.
• Connect solutions to data platforms, internal systems, enterprise APIs, data pipelines, and metric layers.
• Lead onboarding, enablement, user feedback cycles, and change management to achieve trusted adoption.
• Measure workflow impact and business value, mentor teammates, and codify reusable patterns into hirify.global’s AI platform strategy.

Requirements

• 5+ years of software engineering, full-stack engineering, or technical deployment experience, including shipping production systems.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong software engineering fundamentals and ability to ship production-grade code in Python and/or JavaScript/TypeScript.
• Hands-on experience building or deploying systems powered by LLMs, generative models, or agentic frameworks.
• Experience decomposing ambiguous problems, making trade-offs, and working autonomously with high ownership.
• Experience working with non-technical stakeholders, translating business needs into technical solutions, and communicating with executives.
• Track record of achieving product adoption and measurable business impact, with strong product judgment.
• Experience with RAG, prompt engineering, agent orchestration, tool use, human-in-the-loop controls, model evaluation, and MLOps/LLMOps.
• Familiarity with AWS, Azure, or GCP; Docker/Kubernetes; CI/CD; modern data architectures; and relational databases.

Culture & Benefits

• Fast-paced, collaborative environment focused on pragmatic problem-solving, action, trust, and delivering solutions to customers.
• Hybrid working model with office collaboration generally Monday through Thursday and flexible Fridays, subject to role or office requirements.
• Health insurance, equity awards, life and disability insurance, parental leave, wellness benefits, and paid time off.
• Global mental health and financial wellness support, with local healthcare, commuter, retirement, and leave benefits varying by location and role.