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    Home/Jobs/Prompt Engineer

    Prompt Engineer

    CAP Digisoft Solutions

    Coimbatore
    2+ years
    6 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Prompt Engineering
    OpenAI GPT
    Claude
    Gemini
    Mistral
    RAG
    Llama
    Python
    REST API

    Description

    Experience:

    • 2+ years of experience in AI, NLP, Prompt Engineering, or related domains

    Responsibilities:

    • Design, develop, and optimize prompts for Large Language Models (LLMs)
    • Evaluate and improve prompt performance for accuracy, consistency, and relevance
    • Develop prompt templates and reusable prompt libraries for various business use cases
    • Create prompt workflows for chatbots, AI assistants, document processing, summarization, and content generation
    • Perform prompt testing, benchmarking, and A/B evaluations
    • Fine-tune prompts to minimize hallucinations and improve response quality
    • Collaborate with AI Engineers to integrate prompts into AI applications and APIs
    • Work with Retrieval-Augmented Generation (RAG) systems to improve AI responses
    • Document prompt strategies, best practices, and evaluation results
    • Stay updated with the latest advancements in Generative AI and LLM technologies

    Additional responsibilities:

    • Evaluate AI responses and improve output quality

    More skills:

    Large Language Models (LLMs), AI model integrations, Analytical skills, Problem-solving

    Other:

    • Excellent written communication and prompt-writing skills
    • Basic knowledge of Python for testing and automation

    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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