Artificial Intelligence Engineer

Company Description

FoodZapp.ai is revolutionizing food delivery by eliminating commissions and empowering local vendors. Customers can order their favorite meals seamlessly through WhatsApp, App and Web connecting directly with eateries. FoodZapp.ai is fueled by a passion for great food and a commitment to supporting local businesses. Our innovative approach prioritizes both vendor success and exceptional customer experience.

AI Engineer

LLMs/SLMs

• Design, build, and maintain

  conversational AI agents

  for real-world use cases (chat and voice).
• Develop backend AI services using

  Python

  , including agent logic, orchestration, and integrations.
• Build and integrate

  frontend interfaces

  using

  Next.js

  for conversational experiences.
• Implement and manage

  TTS (Text-to-Speech)

  and

  STT (Speech-to-Text)

  pipelines.
• Design and implement

  function calls, tool calls, and agent workflows

  with LLMs.
• Optimize systems for

  performance, latency, and scalability

  , especially in real-time conversations.
• Work with

  GenAI models (LLMs and SLMs)

  , selecting the right model for cost, latency, and accuracy.
• Collaborate with product, design, and engineering teams to ship production-ready AI features.
• Debug, monitor, and improve conversational quality and system reliability in live environments.

• 3+ years of experience

  building and deploying

  conversational AI systems

  .
• Strong proficiency in

  Python

  for AI and backend development.
• Solid experience with

  Next.js

  for frontend integration.
• Hands-on experience with:

• TTS / STT protocols and services

• Function calling and tool calling

  in LLM-based systems
• Multi-step agent workflows and state management
• Deep understanding of

  performance, latency, and real-time constraints

  in AI systems.
• Strong experience working with

  Generative AI models

  , including:
• Large Language Models (LLMs)
• Small Language Models (SLMs)
• Prompting, orchestration, and evaluation
• Experience deploying AI systems in

  production environments

  .

• Experience with

  React Native

  for mobile AI experiences.
• Experience integrating AI systems into

  React-based

  applications.
• Familiarity with streaming audio pipelines and real-time communication.
• Experience with model evaluation, logging, and observability for AI agents.

• Strong problem-solving mindset with a focus on

  real-world usability

  .
• Ability to balance

  quality, latency, and cost

  in AI system design.
• Comfortable working in fast-paced, experimental environments.
• Passion for building

  human-like, reliable conversational experiences

  .