AI Application Developer

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.
  

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
  
  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