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    Rchilli logo

    AI Intern Agent Development & MCP Integration

    Rchilli · Not specified · onsite · Posted 46d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Title - AI Intern – Agent Development & MCP Integration

    Shift Time: Day shift 10 am -8 pm IST

    Work Mode: Work from office (Mohali, PB)

    • Department

    Tech

    • Role Summary

    AI Intern – Agent Development & MCP Integration

    We are looking for an AI Intern interested in building next-generation AI agents, MCP integrations, and intelligent automation workflows.

    Responsibilities

    • Develop and test AI agents and agentic workflows.
    • Build and integrate MCP (Model Context Protocol) servers/tools.
    • Integrate LLMs with APIs, databases, and external applications.
    • Build AI-powered automation and multi-step workflows.
    • Package, document, and release MCP tools on relevant marketplaces.
    • Research emerging AI agent frameworks and technologies.
    • Debug, test, and improve AI solutions.

    Requirements

    • Basic programming skills in Python or JavaScript/TypeScript.
    • Understanding of LLMs, APIs, and Git/GitHub.
    • Strong interest in Generative AI, AI Agents, MCP, and automation.
    • Good problem-solving and learning ability.

    Nice to Have

    Experience with LangGraph, LangChain, n8n, RAG, tool calling, Docker, or cloud platforms.

    Opportunity: Work on real-world AI agent, MCP, and automation projects while gaining hands-on experience with emerging AI technologies.

    • Must-have Skills
    • Proficiency in Python programming
    • Strong understanding of machine learning fundamentals (supervised and unsupervised learning)
    • Hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn, or similar)
    • Knowledge of data structures and algorithms
    • Familiarity with SQL and data manipulation
    • Ability to work with datasets and perform data analysis
    • Problem-solving mindset and attention to detail
    • Good-to-have Skills
    • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch)
    • Knowledge of NLP (Natural Language Processing) techniques
    • Experience with computer vision applications
    • Familiarity with cloud platforms (AWS, GCP, Azure)
    • Understanding of version control systems (Git)
    • Experience with REST APIs and web frameworks
    • Exposure to DevOps and containerization (Docker)
    • Contributions to open-source projects
    • Qualification Required (Education) & Technical Background
    • Bachelor's degree (currently pursuing or recently completed) in Computer Science, Engineering, Mathematics, Data Science, or related field
    • Strong foundation in mathematics including linear algebra, statistics, and probability
    • Academic or practical projects demonstrating AI/ML knowledge
    • Demonstrated interest in artificial intelligence and machine learning through coursework or personal projects
    • Experience & Qualifications

    This is an internship position ideal for candidates with minimal to no professional experience in AI development. We welcome fresh graduates and students in their final year of study. Any hands-on experience with machine learning projects, hackathons, or internships in related fields is a plus. Your ability to learn quickly and passion for AI/ML are more important than extensive prior experience.

    Sourced from foundit

    Skills

    DockerGithubcloud platformsapisWeb FrameworksLarge Language Models (LLMs)PytorchTensorflowScikit-LearnPythonJavascriptTypescriptSQLREST APIGIT

    About Rchilli

    Rchilli logo

    Rchilli

    IT Services & Consulting

    125

    employees

    2014

    12 years old

    San Ramon, California

    United States (USA)

    ₹5.6L PA avg

    Avg at Rchilli

    About

    Rchilli develops intelligent plugins tailored for the HR technology sector, enhancing efficiency and offering integration with global solutions.

    Industries

    IT Services & ConsultingHardware & NetworkingSoftware Product

    Employee ratings

    10 reviews

    3.5/ 5

    Culture

    3.7

    Career growth

    3.6

    Work-life

    2.9

    Employees rate it well for

    Skill Development38Career Growth36

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