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Gen AI Engineer

3-5 Years
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Job Description

Job Title: Generative AI Developer

Experience: 3–5 Years

Location: Hybrid/Hyderabad

Employment Type: Full-time

Job Summary

We are seeking a Generative AI Developer with strong expertise in Azure and modern LLM ecosystems. The candidate will be responsible for building scalable, production-ready GenAI applications using Retrieval-Augmented Generation (RAG), LLMs, and multi-model integrations (including Claude and Gemini). This role requires hands-on coding experience and deep understanding of end-to-end AI solution development.

Key Responsibilities

  • Design and develop Generative AI solutions using Azure AI services and LLMs
  • Build and implement RAG pipelines integrating vector databases and knowledge sources
  • Develop and optimize prompt engineering strategies across multiple LLMs (Claude, Gemini, etc.)
  • Integrate and orchestrate LLM-based applications using MCP (Model Context Protocol)
  • Develop backend services and APIs using Python
  • Work with Azure OpenAI, Azure AI Studio, and Azure Machine Learning for deployment and scaling
  • Ensure performance, security, and cost optimization of AI solutions
  • Collaborate with cross-functional teams to translate business requirements into AI solutions
  • Evaluate and compare outputs across different LLM providers and optimize accordingly

Mandatory Skills

  • Strong programming skills in Python
  • Hands-on experience with Retrieval-Augmented Generation (RAG)
  • Solid experience with Azure AI ecosystem (Azure OpenAI, Azure ML, AI Studio)
  • Practical experience working with Large Language Models (LLMs)
  • Experience with Claude (Anthropic) and Gemini (Google) models
  • Knowledge or experience with MCP (Model Context Protocol) for LLM orchestration and integrations
  • Experience in building and deploying scalable AI/ML applications

Required Skills & Qualifications

  • 3–5 years of experience in AI/ML, software development, or related field
  • Experience with NLP, prompt engineering, and LLM fine-tuning or adaptation
  • Familiarity with vector databases (FAISS, Pinecone, or Azure Cognitive Search)
  • Experience building REST APIs and microservices

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About Company

Job ID: 150892741

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