Software Engineer – AI/ML

Mia Labs

Software Engineer for AI/ML platform at Mia Labs focusing on voice AI development and model optimization. Involves building real-time voice AI pipelines and collaborating with vendors and teams.

Posted 7/8/2026full-timeAustin • Texas • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

AzureCloudOpen Source

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

1+ 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.

Benefits

Comp & perks

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.

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Hard Skills & Tools

Software DevelopmentProduction Code WritingModel EvaluationLatency OptimizationCost OptimizationPrompt DesignSpeech-to-TextText-to-SpeechVoice CloningMultilingual Features

Soft Skills

Clear CommunicationScrappy MindsetTeam Collaboration