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    Home/Jobs/Gen AI Engineer

    Gen AI Engineer

    Keka Hire

    Hyderabad / Mumbai / Pune / Kochi / Chennai
    6-8 years
    45 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    Gen AI
    Azure OpenAI Service
    Vector Database
    Prompt Engineering
    Python
    Azure Cloud Services
    Azure AI Studio
    REST API
    Microservices
    AI Model Evaluation
    Azure Cognitive Search

    Description

    We are looking for a skilled Gen AI Engineer with 6–8 years of experience in Python development, Azure cloud services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI solutions.

    Company: Keka Hire

    Role: Gen AI Engineer

    Location: Onsite/Hybrid- Mumbai, Pune, Kochi, Chennai, Coimbatore, Hyderabad

    Experience:

    • 6–8 years of overall IT experience
    • 6–8 years of experience in Python development, Azure cloud services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI solutions

    Role Focus: • Design, develop, and deploy Generative AI applications using Azure AI Services and OpenAI models • Build and optimize RAG-based solutions leveraging vector databases and semantic search • Develop scalable backend services and APIs using Python • Integrate LLMs such as GPT, Llama, Claude, or similar models into enterprise applications • Implement prompt engineering, fine-tuning, and model evaluation strategies • Work with Azure AI Studio, Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning • Develop AI agents, chatbots, and intelligent automation solutions • Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions • Monitor, optimize, and maintain AI applications in production environments • Ensure security, governance, and compliance standards are followed in AI implementations

    Nice to have:

    • Experience with AI Agents and Multi-Agent Frameworks
    • Exposure to MLOps and CI/CD pipelines
    • Experience with Docker and Kubernetes
    • Knowledge of data engineering concepts and ETL pipelines
    • Familiarity with Git, Azure DevOps, and Agile methodologies

    More skills:

    Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI solutions, Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.), Semantic Kernel, Prompt Engineering techniques, REST API development, AI model evaluation and monitoring

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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