Artificial Intelligence Engineer

3 years

0 Lacs

Posted:6 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

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.


Job Title: AI Engineer – Conversational AIExperience: 3+ YearsLocation: RemoteEmployment Type: Full-timeAbout the Role

AI Engineer

LLMs/SLMs

Key Responsibilities
  • 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.
Required Skills & Qualifications
  • 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

    .
Good to Have (Bonus Skills)
  • 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.
What We’re Looking For
  • 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

    .

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