Artificial Intelligence Intern

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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About Teqrox


Teqrox is a forward-thinking management consultancy and technology solutions company. We combine consulting expertise with AI-driven innovation to deliver scalable, intelligent solutions for enterprises.


Role Overview


We’re looking for passionate interns/fresh graduates who are full-stack AI engineers. You’ll work closely with senior engineers, designing, building, and deploying AI-powered applications.


What You’ll Do


  • Assist in building web applications using React, Node.js, and Python
  • Integrate AI/ML models (OpenAI, LangChain, Hugging Face)
  • Work with APIs (social media APIs, CRM APIs, Twilio, verification APIs)
  • Develop backend logic, databases (SQL & NoSQL), and automation workflows
  • Contribute to UI/UX improvements for dashboards and portals
  • Collaborate using Git/GitHub for version control
  • Participate in code reviews and brainstorming sessions


What We’re Looking For


  • Basic knowledge of Python and JavaScript
  • Familiarity with HTML, CSS, and React
  • Understanding of REST APIs and JSON
  • Curiosity about AI, LLMs, and automation workflows
  • Problem-solving mindset and eagerness to learn new tools
  • Good communication and teamwork skills


Nice-to-Have (Bonus Points)


  • Projects or hackathon experience in AI/web development
  • Knowledge of databases (MongoDB, PostgreSQL)
  • Exposure to cloud services (AWS, Azure, or GCP)


What You’ll Gain


  • Hands-on training in full-stack AI development
  • Real-world project experience in consulting + tech solutions
  • Mentorship from experienced AI engineers
  • Potential for a full-time offer upon successful internship completion
  • Exposure to management consulting + AI product innovation


Academic Requirements


Minimum: Bachelor’s degree in progress or completed in:


Computer Science, Information Technology, Electronics & Communication, Data Science, AI/ML, or related STEM fields.


CGPA: 6.0+ or 60% and above (flexible for candidates with strong portfolios or project work).


Preferred:


AI/ML certifications (Coursera, NPTEL, Udemy, etc.).


Participation in hackathons, coding competitions, or open-source projects.


GitHub or a portfolio showcasing projects.

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