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    Home/Jobs/Artificial Intelligence Engineer

    Artificial Intelligence Engineer

    LearnWith.AI

    Worldwide
    4+ years
    Today
    ₹20–20 LPA
    Full-time
    Remote

    Skills Required

    LLM
    LangChain
    LangGraph
    Self-improving AI systems
    AI content generation
    Evaluation sets
    Regression sets

    Description

    We are seeking an Artificial Intelligence Engineer to join LearnWith.AI, a company that uses AI to generate personalized educational content. The ideal candidate will have experience in software engineering, LLMs, and self-improving AI systems. This is a fully-remote, full-time role with a salary of $200,000 USD/year.

    Company: LearnWith.AI

    Role: Artificial Intelligence Engineer

    Location: Worldwide, Fully-remote

    Experience:

    • A minimum of 4 years of professional experience in software engineering
    • Demonstrated professional experience integrating LLMs into a software product
    • Proven experience deploying a production system in which a self-improving agent autonomously drove system iteration
    • Hands-on experience building evaluation or regression sets that guide self-improving systems and establishing quantifiable success metrics

    Key Skills:

    • LLMs (Large Language Models)
    • Agent-orchestration frameworks (e.g., LangChain, LangGraph)
    • Self-improving AI systems
    • Software engineering

    Role Focus:

    • Developing Self-Improving AI Content Generation Systems
    • Establishing Evaluation Sets & Experiment Harnesses
    • Architecting Context Packs

    Other:

    • Salary: $200,000 USD/year ($100 USD/hour)
    • Fully-remote, full-time (40 hrs/week), flexible schedule
    • Long-term role

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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