AI Application Developer

• 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.

Requirements

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