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.