What You'll Do
- Build AI-powered applications that automate workflows, assist teams, and enhance customer experiences across our restaurant technology platform
- Design and develop voice AI solutions including conversational agents, phone-based ordering, and real-time customer support
- Architect Agentic systems—single-agent and multi-agent—that can reason, plan, and execute complex tasks with appropriate human oversight
- Connect AI systems to company data and services so they can answer questions and take actions based on real information
- Translate business needs into technical solutions, working closely with non-technical stakeholders to understand problems before jumping to code
- Monitor and improve deployed AI systems by tracking performance, evaluating outputs, and optimizing for reliability, latency, and cost
- Stay current with the evolving AI ecosystem and evaluate which new models, tools, and protocols are worth adopting
Skills We're Looking For
- Strong Python skills with FastAPI and Pydantic. TypeScript is a plus.
- Experience with LLM APIs and Agentic frameworks. You've built applications using frontier models and understand prompt engineering, function calling, and structured outputs.
- Voice AI experience. You've worked with STT/TTS services like Deepgram or ElevenLabs and voice agent frameworks like LiveKit, Pipecat, or Vapi. You understand real-time audio pipelines, turn-taking, and latency optimization.
- Familiarity with agent interoperability protocols such as A2A and MCP, and an understanding of how agents connect to tools, data sources, and each other.
- Problem-solving mindset where you break down complex problems and find practical solutions—knowing when a simple prompt chain is enough versus when a full agent architecture is warranted.
- Clear communication so you can explain technical concepts to anyone, gather requirements effectively, and document system behavior for teammates.
- Production experience deploying and maintaining real cloud-native applications with proper observability and reliability practices.
Qualifications
- Bachelor's degree in Computer Science, related field, or equivalent practical experience
- 1 to 3 years of software development experience
- Hands-on experience building AI-powered applications. Personal projects and open-source contributions count.
Bonus
- Experience deploying voice or conversational AI agents in production
- Broader voice stack knowledge spanning VAD, speech recognition, synthesis, orchestration, and telephony integration via Twilio, Telnyx, or similar
- Experience building multi-agent systems or production MCP servers
- Hands-on work with agent SDKs such as OpenAI Agents SDK, Google ADK, LangGraph, or similar
- Familiarity with vector databases like pgvector, Pinecone, or Weaviate and RAG patterns
- Background in model evaluation or building quality pipelines for AI outputs
- Experience with real-time communication infrastructure such as WebRTC
Contributions to open-source AI tooling or published technical writing
