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
BonusExperience 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
