Mia Labs

Full-stack Engineer

• Design, develop, and maintain scalable backend systems using Python.
• Architect efficient solutions for integrating various technologies, potentially including large language models (LLMs) and natural language processing (NLP).
• Implement and optimize speech-to-text (STT) and text-to-speech (TTS) systems.
• Lead system design and architecture discussions, ensuring technical scalability and maintainability.
• Apply best practices in software development, including testing, CI/CD pipelines, and code quality.
• Mentor and guide team members, fostering technical growth and collaboration.
• Stay current with technology advancements relevant to our domain, including AI/ML, and evaluate their potential application.

Software Engineer

AI Engineer

• Design, develop, and maintain scalable backend systems using Python.
• Build and contribute to frontend features using TypeScript and React.
• Improve voice pipeline performance, expanding multi-channel communication capabilities, and evaluating emerging technologies.
• Implement and optimize real-time speech-to-text (STT) and text-to-speech (TTS) systems.
• Contribute to multi-channel messaging systems (SMS, email, voice) built on a shared agentic backbone.
• Own complex refactoring and architecture projects —replacing brittle, legacy patterns with clean, testable, scalable solutions.
• Apply best practices in software development, including testing, CI/CD pipelines, and code reviews.
• Mentor and guide team members, fostering technical growth and collaboration.

Product AI Engineer

Account Manager

• Own customer relationships end-to-end—onboarding, adoption, success, and renewals.
• Lead technical onboarding, configuring workflows, call routing, and CRM integrations.
• Develop deep product knowledge and act as the expert on system behavior and workflows.
• Troubleshoot technical issues across telephony, integrations, and configuration in partnership with engineering.
• Use dashboards, SQL, and analytics tools to understand customer performance and recommend improvements.
• Communicate clearly with technical and non-technical users, translating complex concepts simply.
• Support feature launches, pilots, and customer feedback loops that inform product direction.
• Deliver training, documentation, and business reviews that drive customer adoption and ROI.
• Identify risks and proactively resolve friction points to ensure long-term success.