Mia Labs, Inc.
Software Engineer (AI/ML)
- Compensation
- Not disclosed
- Location
- Austin Office
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
Full 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)