Senior Machine Learning Engineer (AI)

Location: Austin, Texas, United States; hybrid work opportunities

Company

hirify.global provides digital banking and lending solutions for banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

What you will do

• Design, build, and deliver production-ready AI capabilities, services, and applications for customer and business problems.
• Develop scalable APIs, microservices, data integrations, and backend systems for AI-powered products and workflows.
• Build AI infrastructure, including evaluation frameworks, deployment pipelines, monitoring, observability, and automated testing.
• Prototype and evaluate LLMs, agentic workflows, and other emerging AI technologies, turning successful concepts into enterprise-grade solutions.
• Integrate AI capabilities across cloud infrastructure, data platforms, and application layers.
• Collaborate with product, engineering, data, and platform teams from early exploration through production.

Requirements

• 5+ years of professional software, ML, or AI engineering experience with production ownership.
• Strong Python and software engineering fundamentals; experience with C#, Java, or TypeScript is valuable.
• Experience building APIs, backend services, microservices, data integrations, or distributed systems.
• Hands-on experience with cloud infrastructure, containers, production deployment, and ML/AI systems in production.
• Experience with evaluation, monitoring, observability, deployment pipelines, Kubernetes, Docker, or MLOps.
• Fluent written and oral English and authorization to work for any employer in the United States are required; visa sponsorship is unavailable.

Nice to have

• Experience with LLM applications, RAG, agentic workflows, model and tool integration, or similar AI patterns.
• Advanced degree or equivalent related work experience.

Culture & Benefits

• Hybrid work opportunities and flexible time off.
• Career development and mentoring programs.
• Health insurance and paid parental leave for eligible new parents.
• Community volunteering, philanthropy programs, and employee peer recognition.
• Supportive and inclusive environment focused on collaboration, career growth, and physical, mental, and professional well-being.