AI Application Developer

Posted Yesterday
Chennai, Tamil Nadu, IND
In-Office
Entry level
eCommerce • Food • On-Demand • Software
The Role
Build and deploy AI-powered applications, voice agents, and single- or multi-agent systems for restaurant technology. Integrate LLMs with company data, tools, and services; translate business needs into technical solutions; and optimize production systems for reliability, latency, cost, and quality. Collaborate with stakeholders, monitor AI performance, and develop conversational experiences including phone ordering and real-time customer support.
Summary Generated by Built In

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



Skills Required

  • Strong Python skills with FastAPI and Pydantic
  • Experience with LLM APIs and agentic frameworks
  • Experience with frontier models, prompt engineering, function calling, and structured outputs
  • Voice AI experience with speech-to-text, text-to-speech, voice agent frameworks, real-time audio pipelines, turn-taking, and latency optimization
  • Familiarity with agent interoperability protocols such as A2A and MCP
  • Production experience deploying and maintaining cloud-native applications
  • Observability and reliability practices
  • Clear technical communication, requirements gathering, and documentation skills
  • TypeScript experience
  • Production deployment of voice or conversational AI agents
  • Voice stack knowledge including VAD, speech recognition, synthesis, orchestration, and telephony integration
  • Experience building multi-agent systems or production MCP servers
  • Experience with OpenAI Agents SDK, Google ADK, LangGraph, or similar agent SDKs
  • Familiarity with vector databases and RAG patterns
  • Model evaluation or AI output quality pipelines experience
  • Real-time communication infrastructure experience such as WebRTC
  • Open-source AI tooling contributions or published technical writing
Am I A Good Fit?
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The Company
1,262 Employees
Year Founded: 2017

What We Do

Foodhub is a food-technology company that operates a cloud-based online ordering marketplace for food delivery and takeaway. Founded in Stoke-on-Trent, it provides technology solutions for restaurants, takeaways, and stadiums, including online ordering, customer engagement, integrated EPOS, marketplace listing, and point-of-sale hardware. Its platform helps food businesses connect with customers, streamline operations, and grow revenue across multiple international markets through digital tools.

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