Job description

ABOUT MIA LABS Mia is the AI communication platform for car dealerships. We answer and act on every inbound call, text and web lead so dealers stop losing service appointments and sales to voicemail. Franchise dealers and some of the largest dealer groups in the country run on Mia. ABOUT THE ROLE We're hiring a Software Engineer (AI/ML) to work on our voice AI platform, the real-time pipeline of speech-to-text, LLM reasoning, and text-to-speech that powers every call. You'll work on latency, model quality, cost, and reliability across the full AI stack, and help shape which models and vendors we bet on. This is a deep, focused role on a small core product team, with direct mentorship from our AI lead. WHAT YOU'LL DO - Build and improve the real-time voice AI pipeline: speech-to-text, conversational LLM orchestration, and text-to-speech, with hard latency targets (we hold P90 end-to-end latency under 2 seconds and are pushing lower). - Improve model performance in production, run evals for core functionality - Improve instrumentation (OTel/Braintrust), build dashboards and alerting - Optimize cost: squeezing more throughput out of open source LLMs - Work with vendors like Anthropic, Microsoft/Azure OpenAI, Deepgram, and NVIDIA — testing new voice and language models, evaluating alternatives, and handling failover when a provider has issues. - Ship AI R&D features into production: things like backchanneling, emotional expressiveness, background audio, voice cloning, and multilingual features - Implement AI guardrails so models behave correctly on live customer calls WHAT WE'RE LOOKING FOR - 2 -5 years of experience in software development (including relevant internships). - Strong engineering fundamentals: you write production code, instrument it, and own what you ship - Comfort with observability tooling (OpenTelemetry or similar) and making decisions from metrics - Scrappy, startup-ready mindset: small team, broad ownership, fast iteration - Clear communicator — you'll explain AI behavior and tradeoffs to product, support, and customer-facing teams NICE TO HAVE - Experience with real-time audio or voice AI (STT/TTS pipelines, streaming, WebRTC/networking, telephony) - Hands-on experience building with LLMs in production: prompt design, model evaluation, latency/cost optimization - Background in speech/audio ML (a founder or early builder of a voice product is a great signal — that's how our current Head of AI got here) - Azure cloud experience WHY MIA - Equity participation through stock options. - Fully paid health, vision & dental insurance for employees. - Flexible PTO and hybrid schedule (3 days / week in downtown Austin). - Free lunches, parking stipend provided, team events, and a casual, but get things done culture. COMPENSATION - Compensation for this position will be competitive with current market rates and reflective of the candidate's experience, skills and qualifications. OUR COMMITMENT At Mia, we’re committed to a workplace where everyone is valued, included, and empowered to do their best work. Our strength comes from diverse experiences, perspectives, and skills, and we’re proud to be an equal opportunity employer. Passionate about the role but don’t tick every box? We’d still love to hear from you, you might be exactly who we need. Mia is an EVerify employer.

Requirements

Must-haves

Build and improve the real-time voice AI pipeline: speech-to-text, conversational LLM orchestration, and text-to-speech, with hard latency targets (we hold P90 end-to-end latency under 2 seconds and are pushing lower).
Improve model performance in production, run evals for core functionality
Improve instrumentation (OTel/Braintrust), build dashboards and alerting
Optimize cost: squeezing more throughput out of open source LLMs
Work with vendors like Anthropic, Microsoft/Azure OpenAI, Deepgram, and NVIDIA — testing new voice and language models, evaluating alternatives, and handling failover when a provider has issues.
Ship AI R&D features into production: things like backchanneling, emotional expressiveness, background audio, voice cloning, and multilingual features
Implement AI guardrails so models behave correctly on live customer calls
2 -5 years of experience in software development (including relevant internships).
Strong engineering fundamentals: you write production code, instrument it, and own what you ship
Comfort with observability tooling (OpenTelemetry or similar) and making decisions from metrics
Scrappy, startup-ready mindset: small team, broad ownership, fast iteration
Clear communicator — you'll explain AI behavior and tradeoffs to product, support, and customer-facing teams
Flexible PTO and hybrid schedule (3 days / week in downtown Austin).
Free lunches, parking stipend provided, team events, and a casual, but get things done culture.
Passionate about the role but don’t tick every box? We’d still love to hear from you, you might be exactly who we need.
Mia is an EVerify employer.

Nice-to-haves

Experience with real-time audio or voice AI (STT/TTS pipelines, streaming, WebRTC/networking, telephony)
Hands-on experience building with LLMs in production: prompt design, model evaluation, latency/cost optimization
Background in speech/audio ML (a founder or early builder of a voice product is a great signal — that's how our current Head of AI got here)
Azure cloud experience

Application prep

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Keywords to mirror

aimlllmazure

Platform: ashby
Effort: quick

Benefits

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Dental

Vision

Pto