Senior AI Engineer – Voice & Conversational AI

Tower Loan of Mississippi, LLC; Flowood (MS); On-site; USD 120,000 - 150,000; Full time

Job summary

Tower Loan of Mississippi, LLC is building customer-facing voice and conversational AI that supports engagement and improves operational efficiency. In this on-site role in Flowood, MS, you will design, develop, and deliver production-grade AI voice experiences that connect real-time speech capabilities with secure business workflows.

As a senior engineer, you will work across large language models, conversation orchestration, and telecom integrations, while helping ensure reliability, safety,

Qualifications

• Strong software engineering skills with production systems experience.
• Expertise in APIs, microservices, and real-time architectures.
• Deep knowledge of large language models and random AI safety controls.
• Proven ability to design secure, scalable, reliable solutions.
• Experience with OpenAI Live/Realtime APIs is preferred.

Responsibilities

• Design, develop, and maintain real-time AI voice apps using LLMs and speech-to-speech.
• Build automated conversational workflows for customer service and payments.
• Configure prompts, policies, security controls, and escalation procedures.
• Lead technical development from concept to production and mentor others.

Skills

Large language models

Real-time voice

C#

.NET

Python

JavaScript/TypeScript

SIP/VoIP

Docker

Kubernetes

REST APIs

AI safety controls

OpenAI Live/Realtime APIs

Education

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, AI, or related field

Tools

Docker

Kubernetes

Git

SQL Server

Redis

Kafka

CI/CD pipelines

WebRTC

Job description

Tower Loan of Mississippi, LLC is building customer-facing voice and conversational AI that supports engagement and improves operational efficiency. In this on-site role in Flowood, MS, you will design, develop, and deliver production-grade AI voice experiences that connect real-time speech capabilities with secure business workflows.

As a senior engineer, you will work across large language models, conversation orchestration, and telecom integrations, while helping ensure reliability, safety, and measurable performance in live environments.

What you’ll do

• Design, develop, and maintain real-time AI voice applications using large language models, speech-to-speech capabilities, and conversational AI platforms.
• Build automated conversational workflows for customer service, payment reminders, promise-to-pay interactions, account servicing, and other business needs.
• Configure AI prompts, conversation policies, security controls, escalation procedures, and automated tool-calling capabilities.
• Implement conversation management features such as 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 support responsive, dependable AI interactions.
• Integrate AI voice applications with SIP, VoIP, PBX, and enterprise telecommunications infrastructure for inbound and outbound calling.
• Create and maintain applications, APIs, and microservices using C#, .NET, Python, JavaScript/TypeScript, or other appropriate tools.
• 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 so AI interactions align with company policies, security requirements, and applicable legal and regulatory standards.
• Maintain accurate and auditable records of AI conversations, system activity, decisions, and automated transactions.
• Develop and run automated testing, conversation evaluations, and quality assurance processes to improve accuracy, reliability, and performance.
• Monitor system 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 the ability to manage multiple priorities effectively.
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field preferred.
• Equivalent professional experience may be considered.
• Five or more years of professional software development experience preferred.
• Demonstrated experience developing and delivering production software systems required.
• Experience developing AI-powered applications, particularly conversational AI or large language model solutions, strongly preferred.
• Experience with real-time voice technologies and enterprise telephony systems preferred, including SIP, RTP, WebRTC, WebSocket, or similar.
• 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, RAG, AI evaluation frameworks, and AI safety controls preferred.
• Experience in consumer finance, lending, collections, banking, payment processing, telecommunications, or another regulated industry preferred.

Key technologies

• Large language models, speech-to-speech, 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.