Backend Engineer

Meesho; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Meesho is seeking a seasoned Backend Engineer to strengthen core services and AI-powered capabilities. You will design scalable backend systems, implement robust APIs, and contribute to GenAI integrations across the stack.

Ideal candidates have 4-8+ years in backend, deep knowledge of Python/Java/Golang, and hands-on cloud and AI experience. Join a fast-growing team in Bengaluru to build scalable, intelligent platforms.

Qualifications

• 4-8+ years of strong backend development experience.
• Strong proficiency in Python / Java / Golang.
• Experience with REST APIs, microservices, and distributed systems.
• Strong knowledge of SQL and databases such as PostgreSQL/MySQL.
• Experience with Redis, Kafka/RabbitMQ, or similar technologies.
• Strong understanding of system design, scalability, performance, and API architecture.
• Experience with Docker, Kubernetes, and CI/CD.
• Hands-on experience with AWS / GCP / Azure.
• Hands-on experience building LLM/GenAI applications.
• Experience with RAG, embeddings, vector databases, prompt engineering and LLM APIs.
• Experience with LangChain / LangGraph / LlamaIndex or similar frameworks.
• Experience integrating AI models into backend applications.
• Understanding of AI agents / agentic workflows is preferred.
• Experience with AI evaluation, observability, hallucination mitigation, and LLM optimisation is a plus.

Skills

Backend dev

Python/Java/Golang

REST APIs

Microservices

Distributed systems

SQL databases

Redis/Kafka/RabbitMQ

System design

Docker/Kubernetes

CI/CD

Cloud: AWS/GCP/Azure

GenAI experience

LLM/GenAI applications

RAG/embeddings/vectorDB

LangChain/LangGraph/LlamaIndex

Tools

PostgreSQL

MySQL

Redis

Kafka

RabbitMQ

Docker

Kubernetes

CI/CD pipelines

AWS

GCP

Azure

LangChain/LangGraph/LlamaIndex

Job description

The core requirements for the job include the following:

Backend - Primary:

• 4-8+ years of strong backend development experience.
• Strong proficiency in Python / Java / Golang.
• Strong experience with REST APIs, microservices, and distributed systems.
• Strong knowledge of SQL and databases such as PostgreSQL/MySQL.
• Experience with Redis, Kafka/RabbitMQ, or similar technologies.
• Strong understanding of system design, scalability, performance, and API architecture.
• Experience with Docker, Kubernetes, and CI/CD.
• Hands-on experience with AWS / GCP / Azure.

AI / GenAI:

• Hands-on experience building LLM/GenAI applications.
• Experience with RAG, embeddings, vector databases, prompt engineering and LLM APIs.
• Experience with LangChain / LangGraph / LlamaIndex or similar frameworks.
• Experience integrating AI models into backend applications.
• Understanding of AI agents / agentic workflows is preferred.
• Experience with AI evaluation, observability, hallucination mitigation, and LLM optimisation is a plus.