SDE I - AI

Meesho · Gurgaon

  • Experience1–3 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted1 Oct 2026
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About Meesho

Meesho is hiring in Gurgaon in ecommerce retail. This role looks for around 1+ years of experience.

Skills

  • Python
  • LLM APIs
  • prompt engineering
  • structured outputs
  • voice AI
  • conversational AI
  • speech
  • real-time systems
  • Git
  • Docker
  • CI/CD
  • testing
  • debugging
  • clean architecture
  • AI application development
  • ASR
  • TTS
  • telephony
  • streaming audio
  • Claude
  • GitHub Copilot

The role

An AI engineer at an e-commerce marketplace builds conversational AI and voice AI products with Python, LLM APIs, and real-time systems, and applies prompt engineering and microservices to scalable production software.

Full job description

We are looking for an AI Engineer - SDE I with strong software engineering fundamentals and hands-on exposure to AI/LLM and conversational or voice-based systems. You will work on backend services, LLM integrations, conversation orchestration, and real-time systems where latency, scalability, reliability, and concurrency are critical.

Responsibilities:

Build and maintain production-grade backend services using Python; Go is a plus.

Develop and integrate LLM-powered workflows, including prompt engineering and structured outputs.

Optimize AI workflows for latency, reliability, and real-time workloads.

Work on voice, telephony, streaming, and conversational AI systems.

Develop well-tested, observable, and maintainable production code.

Participate in code reviews, debugging, incident resolution, and technical ownership.

Contribute to CI/CD, containerization, and deployment practices.

Work with real-time systems where concurrency and performance are important.

Requirements:

Strong programming fundamentals, with Python preferred.

Experience building and shipping production-grade software.

Good understanding of Git, testing, debugging, code reviews, and clean architecture.

Hands-on experience with LLM APIs, prompt engineering, structured outputs, and AI application development.

Experience with voice AI / conversational AI / speech / real-time systems.

Exposure to technologies such as ASR, TTS, telephony, streaming audio, or similar systems.

Comfortable using AI coding tools such as Claude or GitHub Copilot.

Ability to take ownership of problems and work in a fast-paced environment.

Good to Have:

Microservices, gRPC, distributed systems.

Go or asynchronous Python.

High-concurrency backend development.

GCP / AWS, Docker, CI/CD, or DevOps.

Exposure to multilingual NLP.

Experience building conversational or voice-based products.