Senior AI Engineer – Voice & Conversational AI

Senior AI Engineer will design and deliver production voice and conversational AI systems that support customer engagement and operational efficiency.

Responsibilities

• Design, build, and maintain real-time AI voice applications using large language models, speech-to-speech technologies, and conversational AI platforms
• Create automated conversational workflows for customer service, payment reminders, promise-to-pay interactions, account servicing, and other business use cases
• Configure AI prompts, conversation policies, security controls, escalation procedures, and automated tool-calling capabilities
• Implement conversation management including interruption handling, contextual awareness, fallback logic, and transfers to live representatives
• Develop and integrate applications using OpenAI Live/Realtime APIs and other real-time AI technologies
• Manage streaming audio, transcription, session processing, and system integrations to maintain reliable, responsive AI interactions
• Integrate AI voice solutions with SIP, VoIP, PBX, and enterprise telecommunications infrastructure for inbound and outbound calling
• Develop and maintain applications, APIs, and microservices using C#, .NET, Python, JavaScript/TypeScript, or other suitable technologies
• Integrate AI applications with company databases, customer systems, payment platforms, messaging systems, and other business applications
• Build secure AI-enabled functions for account lookup, customer verification, payment-related interactions, scheduling, and transfers to live representatives
• Implement safeguards to support compliance with company policies, security requirements, and applicable legal and regulatory standards
• Maintain accurate and auditable records of AI conversations, system activities, decisions, and automated transactions
• Develop and execute automated testing, conversation evaluations, and quality assurance to improve AI accuracy, reliability, and performance
• Monitor performance including call outcomes, response times, errors, escalation rates, and other operational metrics
• Design and maintain scalable, highly available systems with controls for capacity, error handling, and service interruptions
• Lead technical development from initial concept through production implementation while maintaining security, reliability, and cost efficiency
• Act as a senior technical resource for conversational AI technologies and provide guidance to other engineers
• Perform all other duties as assigned

Requirements

• Strong software engineering skills with experience developing and supporting production applications
• Advanced knowledge of APIs, microservices, distributed systems, and real-time application architectures
• Strong understanding of large language models, generative AI, conversational AI, and prompt engineering
• Advanced troubleshooting, problem-solving, and systems analysis skills
• Ability to design secure, scalable, and reliable technical solutions
• Strong organizational and project management skills, with ability to manage multiple priorities
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field preferred
• Equivalent professional experience may be considered
• Five (5) or more years of professional software development experience preferred
• Demonstrated experience developing and delivering production software systems required
• Experience developing AI-powered applications, especially conversational AI or LLM solutions, strongly preferred
• Experience with real-time voice technologies, streaming APIs, SIP, RTP, WebRTC, WebSocket, or enterprise telephony systems preferred
• Experience with OpenAI Live/Realtime APIs and related AI development platforms preferred
• Proficiency with C#, .NET, Python, JavaScript/TypeScript, or similar languages preferred
• Experience with technologies such as SQL Server, Redis, Kafka, Docker, Kubernetes, REST APIs, Git, and CI/CD pipelines preferred
• Familiarity with speech recognition, text-to-speech, retrieval-augmented generation (RAG), AI evaluation frameworks, and AI safety controls preferred
• Experience in consumer finance, lending, collections, banking, payment processing, telecommunications, or other regulated industries preferred

Technologies

• Large language models
• Speech-to-speech technologies
• Conversational AI platforms
• OpenAI Live/Realtime APIs
• C#, .NET, Python, JavaScript/TypeScript
• SIP, VoIP, PBX
• SQL Server, Redis, Kafka
• Docker, Kubernetes
• REST APIs, Git, CI/CD pipelines
• Speech recognition, text-to-speech
• Retrieval-augmented generation (RAG)
• RTP, WebRTC, WebSocket
• Streaming APIs
• AI evaluation frameworks, AI safety controls
• Microservices, distributed systems, real-time application architectures
• Automated tool-calling capabilities

Physical Requirements

• Stand, walk, and/or sit for eight (8) hours a day
• Communicate effectively, verbally, written, in person, via telephone, or electronically
• Lift and maneuver up to 20 lbs