Build and maintain AI-powered features and services, from agent infrastructure and workflow orchestration to production monitoring, while improving code quality and delivering reliable intelligent collaboration tools.
Software Engineer (AI/ML)
📜 Description
- Build and improve the real-time speech-to-text, LLM orchestration, and text-to-speech pipeline.
- Improve production model performance and run evaluations for core functionality.
- Enhance instrumentation, dashboards, and alerting using tools such as OpenTelemetry and Braintrust.
- Optimize costs and throughput for open-source LLMs.
- Evaluate voice and language model vendors, alternatives, and failover strategies.
- Ship AI features and guardrails for live customer calls, including multilingual and expressive voice capabilities.
🛠️ Requirements
- 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
- 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
- Equity participation through stock options.
- Fully paid health insurance for employees.
- Fully paid vision insurance for employees.
- Fully paid dental insurance for employees.
- Flexible PTO.
- Hybrid schedule.
- Free lunches.
- Parking stipend.
Full 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.
Similar jobs
Search more AI Engineer jobsAI Algorithm Engineer - Vision Localization Group
Develop computer vision and deep learning algorithms for centimeter-level vehicle localization on HD maps, combining multi-camera vision, 3D geometry, and optimization for robust autonomous driving.
Train and evaluate PyTorch computer vision models for visual localization, build large-scale image and 3D data pipelines, and help improve benchmarks and production inference for precise positioning.
Associate Applied (AI) Value Engineer (Scale EMEA/French-Speaking) - Orbit Program
As an Applied AI Value Engineer, you will solve business-critical challenges for customers by leveraging Celonis' Process Intelligence platform and AI technologies to drive impactful solutions.
Build and ship multi-step agentic systems on Roku’s streaming platform, combining distributed systems, telemetry, device constraints, and internal tools to improve engineering workflows at scale.
