About the role

What will you do at Knight Insurance Group, Inc.?

This role involves working with state-of-the-art speech recognition, speech

synthesis, voice streaming, and AI agent frameworks to create scalable voice

solutions for customer service, sales, finance, and automation applications.

This is an on-site position with no relocation assistance provided.

If you're passionate about conversational AI and enjoy solving challenging

engineering problems, we'd love to hear from you.

* Responsibilities

* Design and develop real-time voice-to-voice AI agents.

* Build conversational AI systems using LLMs and agent frameworks.

* Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies into

production applications.

* Optimize latency and streaming performance for natural conversations.

* Develop backend services and APIs using Python and C#/. NET.

* Integrate with telephony, voice streaming, and communication platforms.

* Implement conversation memory, tool calling, function execution, and

retrieval-augmented generation (RAG) workflows.

* Collaborate with product managers, AI engineers, and software developers to

deliver production-ready AI solutions.

* Evaluate emerging AI models, speech technologies, and voice platforms.

* Monitor, troubleshoot, and continuously improve voice agent performance and

reliability.

Required Qualifications

* Bachelor's or Master's degree in Computer Science, Software Engineering,

Artificial Intelligence, or a related field.

* 5+ years of professional software engineering experience.

* Hands-on experience building voice-to-voice AI applications.

* Strong understanding of:

* Speech Recognition (Automatic Speech Recognition - ASR)

* Speech Synthesis (Text-to-Speech - TTS)

* Voice Activity Detection (VAD)

* Audio streaming and low-latency communication

* Professional experience with Python and C#/. NET.

* Experience consuming AI APIs and working with LLMs.

* Experience building REST APIs and microservices.

* Knowledge of asynchronous programming, event-driven architectures, and

real-time streaming.

* Strong debugging, analytical, and problem-solving skills.

Preferred Qualifications

Experience with one or more of the following:
* Real-time conversational AI platforms
* AI agent frameworks
* Retrieval-Augmented Generation (RAG)
* Vector databases
* Prompt engineering and evaluation
* WebRTC, SIP, RTP, or telephony integrations
* Azure AI, Azure OpenAI, or other cloud AI services
* Docker and Kubernetes
CI/CD pipelines and cloud-native application development

Which skills does this role require?

PythonC#.NETSpeech RecognitionSpeech SynthesisVoice Activity DetectionAudio StreamingLLMsREST APIsMicroservicesAsynchronous ProgrammingEvent-driven ArchitecturesAI Voice EngineerASRTTSVADVoice StreamingSoftware EngineeringArtificial IntelligenceEvent-driven ArchitectureReal-time Communication

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