Software Engineer (AI/ML)

About the RoleWe'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 DoBuild 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 functionalityImprove instrumentation (OTel/Braintrust), build dashboards and alertingOptimize cost: squeezing more throughput out of open source LLMsWork 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 featuresImplement AI guardrails so models behave correctly on live customer callsWhat We're Looking For2 -5 years of experience in software development (including relevant internships).Strong engineering fundamentals: you write production code, instrument it, and own what you shipComfort with observability tooling (OpenTelemetry or similar) and making decisions from metricsScrappy, startup-ready mindset: small team, broad ownership, fast iterationClear communicator — you'll explain AI behavior and tradeoffs to product, support, and customer-facing teamsNice to HaveExperience 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 optimizationBackground 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.