AI Application Developer
On-siteChennai, Tamil Nadu, India
Job Summary
Build AI-powered applications that automate workflows, assist teams, and enhance customer experiences across the restaurant technology platform. Design and develop voice AI solutions including conversational agents, phone-based ordering, and real-time customer support using real-time audio pipelines. Architect single and multi-agent systems that reason, plan, and execute complex tasks with human oversight while connecting AI systems to company data and services. Translate business needs into technical solutions by working closely with non-technical stakeholders to gather requirements and document system behavior. Monitor deployed AI systems by tracking performance, evaluating outputs, and optimizing for reliability, latency, and cost.
Required Qualifications
- Strong Python skills with FastAPI and Pydantic
- 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
- 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
Desired Qualifications
- TypeScript is a plus
- 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
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