Senior Voice AI Engineer

As a Senior Voice AI Engineer, you'll focus on building and scaling real-time voice-driven AI agents tailored for complex healthcare workflows. Your role will encompass designing audio pipelines, collaborating with engineering teams for rapid feature deployment, and maintaining high-quality APIs to support agent functionalities. Your contribution will directly impact the delivery of seamless conversations between patients and healthcare systems.

To qualify for the Senior Voice AI Engineer role, you need a minimum of 5 years of experience in software engineering, specifically in real-time systems. A proven track record in building and deploying voice or AI infrastructures is essential, along with proficiency in Python. Familiarity with tools like FastAPI and ASR/TTS tools, as well as experience with Pipecat, will give candidates a strong advantage.

In this position, you'll work with a variety of technologies, including LLMs, audio streaming, ASR (Automated Speech Recognition), TTS (Text-to-Speech), and agent frameworks such as Pipecat. Your technical toolkit will also likely include Python programming, FastAPI for building APIs, and possibly PyTorch if you delve into model fine-tuning or custom voice model pipelines.

As a Senior Voice AI Engineer, you're expected to collaborate closely with the founding team, providing your unique insights on building robust voice agent solutions. You'll bring your hands-on experience to the table, influencing the direction of our innovative healthcare workflows and ensuring that the voice agents we develop are both effective and user-friendly.

Pipecat is crucial for orchestrating large language models (LLMs), managing memory, and supporting multi-turn conversations. Familiarity with Pipecat, or active participation in its community, will provide you with a distinct edge, enabling you to seamlessly integrate various components of the voice AI systems you’ll develop, significantly enhancing the capabilities of the intelligent voice agents.

When discussing your experience with real-time voice systems, focus on specifics—mention projects you've worked on, the technologies you used, and how you ensured low-latency audio processing. Provide examples that showcase your understanding of both ASR and TTS integrations, and discuss any challenges you faced and how you overcame them.

In your response, mention the tools and frameworks you've used, such as FastAPI for API design or Pipecat for orchestrating LLMs. Discuss why you prefer these tools, focusing on how they improve efficiency and the overall quality of voice AI features. Real-world examples will strengthen your answer.

When answering this question, choose a specific challenge that highlights your problem-solving skills. Discuss the context, the challenge itself, the steps you took to address it, and the outcome. Emphasize collaboration with the team and how the experience improved your skills and understanding of voice AI technology.

Your answer should highlight your approach to quality assurance — testing methodologies, deployment strategies, and ongoing monitoring of agent performance. Mention any tools or practices you've used for debugging and monitoring, and share examples of how you've implemented feedback from users or data to improve system reliability.

Discuss any relevant work or experience you've had in healthcare settings. Highlight specific workflows you’ve navigated and how your technical expertise in voice AI can enhance user interactions in that context. Reference any understanding of regulatory considerations relevant to healthcare AI applications as well.

Share your insights on emerging trends in voice AI, whether it be in natural language processing, improvements in ASR accuracy, or the increasing use of conversational agents in various sectors. Emphasize how these advancements can impact healthcare interactions and the potential for creating more empathetic AI systems.

Illustrate your flexibility and adaptability in project management. Provide examples of previous instances where requirements shifted rapidly, and describe how you prioritized tasks, communicated with stakeholders, and delivered results effectively despite the changes.

Focus your response on the methods and principles you apply when crafting prompts for voice interactions. Illustrate how you consider user experience and intent to design effective prompts and improve the naturalness and accuracy of conversations the AI has with users.

Convey genuine enthusiasm for the company’s mission and how the Senior Voice AI Engineer position aligns with your skills and career goals. Mention specific projects or values of the company that resonate with you, and explain why you’re excited about contributing to their vision in the healthcare space.

Discuss your active involvement in the Pipecat community, how you engage with peers, share insights, or contribute to projects. Share examples of how this community engagement has improved your understanding of voice AI concepts and how it’s relevant to the Senior Voice AI Engineer role.