Senior AI Engineer, Voice & Agentic Systems

Location: United States, Florida, Jacksonville

Company

hirify.global develops technology for payments, banking, investing, and financial-services customer experiences.

What you will do

• Architect and deliver enterprise-scale conversational Agentic AI voice systems for regulated banking use cases.
• Integrate speech-to-text, text-to-speech, LLMs, cognitive services, secure APIs, and backend enterprise systems.
• Design multi-step agentic workflows with planning, function calling, tool routing, state management, memory, and human escalation.
• Optimize real-time voice interactions for latency, reliability, scalability, and cost efficiency.
• Deploy highly available AI services across Azure and AWS using Kubernetes, containers, serverless platforms, and multi-region architectures.
• Build evaluation, observability, security, privacy, Responsible AI, and compliance frameworks, while troubleshooting distributed AI systems and mentoring engineers.

Requirements

• 5+ years of backend or platform engineering experience with Python, Java, C#, or .NET.
• Experience building LLM-powered applications, agentic workflows, tool or function calling, retrieval patterns, state management, and multi-step orchestration.
• Practical experience with conversational AI, speech-to-text, text-to-speech, NLP/NLU, real-time voice interactions, or voice assistant platforms.
• Experience taking AI solutions from prototype to production with attention to latency, reliability, scalability, observability, and cost.
• Experience with cloud deployment, containers, serverless architecture, CI/CD, infrastructure as code, and secure configuration practices on Azure, AWS, or similar platforms.
• Strong debugging, production support, security, privacy, Responsible AI, and regulated-industry engineering skills.

Nice to have

• Experience in banking, fintech, or other regulated industries.
• Experience with contact center modernization, IVR transformation, CCaaS platforms, or enterprise customer experience systems.
• Experience moving emerging AI concepts from research or prototypes into reliable production systems.
• Advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

Culture & Benefits

• Opportunities to make an impact in fintech.
• Personal and professional learning opportunities.
• Inclusive and diverse work environment.
• Resources to contribute to the community.
• Competitive salary and benefits.