AI Application Developer

FoodHub; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading tech platform for restaurants in Chennai is seeking a skilled AI Developer to build voice AI applications and streamline communication within our restaurant technology ecosystem. The ideal candidate has strong Python skills, experience in AI systems, and is adept in clear communication to translate business needs into technical solutions. This role involves architecting both single-agent and multi-agent systems, enhancing customer experience, and ensuring system performance. Competitive compensation and growth opportunities are offered.

Qualifications

• Strong experience with Python and modern frameworks.
• Background in AI development and deployment of applications.
• Hands-on with real-time audio and communication technologies.

Responsibilities

• Build AI-powered applications that automate workflows.
• Design and develop voice AI solutions for customer interactions.
• Architect Agentic systems to enhance operational efficiency.
• Translate business needs into actionable technical solutions.
• Monitor and optimize AI systems for performance and reliability.

Skills

Python

FastAPI

Pydantic

LLM APIs

Voice AI

Clear communication

Problem-solving mindset

Tools

Deepgram

ElevenLabs

Twilio

WebRTC

Job description

Foodhub currently has 30,000+ restaurant, takeaway, stadia, hotel and bar clients in the UK, Ireland, USA, Canada, Nigeria, Grenada and ANZ. Today, Foodhub powers the technology behind many different QSR's, stadia and venue, online order, delivery and POS businesses, giving them a multi-solution tech stack to drive their business forward and open new revenue streams.

From the moment a consumer is thinking of placing an order, to the time the order arrives at their door and a review is posted to social media, Foodhub has solutions to drive the consumer experience, whilst adding extra value via our ecosystem of partners. The Foodhub Tech Stack is extensive: from Web and Mobile Ordering to 3rd Party Order Aggregation, Dispatch and Self-Delivery, complete Hardware/Software POS systems, extensive array of POS integrations, On-Premise Kiosks, QR Code Ordering and Payment, Table-side Mobile Order/Receipt Printers, plus an extensive product and development team to support all of this.

Job Description

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