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    Home/Jobs/Gen AI Engineer

    Gen AI Engineer

    Myridius

    Chennai / Pune
    10+ years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    Anthropic Claude Sonnet
    RAG
    Vector Database
    Python
    AWS
    Conversational AI
    AWS Bedrock
    AWS SageMaker
    AWS Lambda
    AWS API Gateway
    FastAPI
    Flask
    Microservices

    Description

    We are seeking an AI Engineer with hands-on experience in Generative AI and AWS AI services to design and build intelligent applications such as enterprise chatbots, knowledge assistants, and AI-powered automation solutions.

    Company: Myridius

    Role: AI Engineer – AWS Generative AI & Conversational AI

    Location: Chennai, Pune

    Experience:

    • 10 Years

    Key Skills:

    • Python
    • AWS
    • Generative AI
    • Conversational AI
    • Large Language Models (LLMs)
    • AWS Bedrock
    • API Gateway
    • Lambda
    • FastAPI
    • Flask
    • microservices architecture
    • OpenSearch
    • Pinecone
    • FAISS

    Role Focus:

    • Design and build AI-powered chatbots and conversational assistants using LLMs
    • Develop solutions using AWS Bedrock models including Anthropic Claude Sonnet
    • Implement Retrieval Augmented Generation (RAG) architectures for enterprise knowledge retrieval
    • Integrate LLMs with enterprise data sources
    • Develop AI applications using AWS Bedrock, SageMaker, Lambda, API Gateway, Step Functions, and S3
    • Build scalable Python-based microservices
    • Expose AI capabilities as secure APIs
    • Implement authentication, rate limiting, and secure API access patterns
    • Design conversational workflows and prompt engineering strategies
    • Manage session context and multi-turn interactions for chatbot applications
    • Implement guardrails to mitigate hallucinations and enforce enterprise policies
    • Build ingestion pipelines for structured and unstructured data
    • Implement vector search and knowledge retrieval systems
    • Monitor model performance, latency, and usage costs
    • Implement logging, evaluation frameworks, and observability for LLM-based systems

    Other:

    • Work closely with product, data engineering, and platform teams

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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