Openai Realtime Api Engineer Jobs

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Senior AI Engineer – Voice & Conversational AI

Tower Loan of Mississippi, LLC Flowood, MS

Flowood, MS

Today

Full time Backend Developer Senior Artificial Intelligence

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Job Description

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

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