Gen AI Developer_5+ years

Zorba AI

Mumbai

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading AI solutions provider in Mumbai is seeking an experienced GenAI Developer to build scalable generative AI applications. This role requires strong expertise in Python, LLMs, and Agentic AI systems. The ideal candidate will have over 5 years of experience designing AI solutions, optimizing RAG pipelines, and integrating platforms such as Azure or AWS. Join a dynamic team to lead the development of innovative AI technologies.

Qualifications

  • 5+ years of experience building production-level AI/ML solutions using Python.
  • Strong hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
  • Experience in Agentic AI systems and AI orchestration frameworks.

Responsibilities

  • Design and develop Generative AI applications using LLMs.
  • Build and optimize RAG pipelines using vector databases.
  • Integrate AI solutions with cloud platforms like Azure or AWS.

Skills

Python
Retrieval-Augmented Generation (RAG)
Vector databases
AI orchestration frameworks
Large Language Models (LLMs)
Azure AI
AWS AI
SQL
DevOps practices

Tools

Azure ML
SageMaker
LangChain
Airflow
Prefect

Job description

Role Overview

We are seeking an experienced GenAI Developer to design, build, and deploy scalable generative AI solutions for enterprise use cases. The ideal candidate will have strong hands-on experience in building production-grade AI/ML systems, with deep expertise in LLMs, RAG architectures, and AI orchestration frameworks.

Responsibilities
  • Design and develop Generative AI applications using LLMs and advanced AI frameworks
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models
  • Develop and implement Agentic AI systems (multi-agent workflows, supervisor agents, micro-agents, etc.)
  • Integrate AI solutions with cloud platforms such as Azure or AWS
  • Work with orchestration tools like LangChain, LangGraph, LlamaIndex, Airflow, or Prefect
  • Fine-tune LLMs and implement prompt engineering best practices
  • Collaborate with cross-functional teams to deliver scalable AI solutions
  • Ensure production readiness, monitoring, and optimization of AI models
Must-Have Skills
  • 5+ years of experience building production-level AI/ML solutions using Python
  • Strong hands-on expertise in:
    • Retrieval-Augmented Generation (RAG)
    • Vector databases & embedding models
    • Retrieval optimization techniques
  • Experience in Agentic AI systems (agent-to-agent communication, MCP, supervisor agents, micro-agents)
  • Advanced experience with Azure AI (Azure OpenAI, Cognitive Services, Azure ML) OR AWS AI (Bedrock, SageMaker, LangChain integration)
  • Strong experience with AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, Airflow, Prefect, etc.)
  • Deep understanding of Large Language Models (LLMs), fine-tuning, and prompt engineering
Good-to-Have Skills
  • Experience with SQL and DevOps practices
  • Prior experience leading or mentoring development teams
  • Exposure to CI/CD pipelines and scalable deployments

Skills: llm,agentic ai,gen ai

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