AI Engineer Intern
🚀 #BlackBox Hiring 2026 | AI Engineer Intern | Freshers | Apply Now 🤖
Want to build AI applications instead of just using AI tools?
Black Box is hiring AI Engineer Interns to work on real-world Generative AI, LLMs, RAG, AI Agents, Prompt Engineering, Python, and Azure AI projects. This internship offers hands-on experience building enterprise AI solutions alongside experienced engineers.
🎓 Eligible: Engineering Students / Freshers (check official eligibility)
💼 Role: AI Engineer Intern
📍 Location: Bengaluru
⏳ Duration: 12 Months
🔥 Why Apply?
✅ Work on Generative AI & LLM Projects
✅ Gain Enterprise AI Development Experience
✅ Learn RAG, Prompt Engineering & AI Workflows
✅ Build Production-Ready AI Applications
✅ PPO Opportunity Based on Performance
🌐 Website:
https://lnkd.in/g7AiFT5H
📱 WhatsApp Channel:
https://lnkd.in/gDbDjyvT
🚀 Telegram Community:
https://t.me/Fresherjobs3
🔗 Apply Here:
https://lnkd.in/d2RS9_Ru
💬 Comment "AI" if you're applying.
🤝 Tag a friend who wants to become an AI Engineer.
🔁 Repost to help fellow job seekers.
#BlackBox #AIEngineer #AIIntern #GenerativeAI #LLM #RAG #PromptEngineering #Python #AzureAI #MachineLearning #FreshersJobs #Internship #TechJobs #HiringNow #OffCampusDrive2026
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Interview advice
Going for the Data Scientist role at Black Box? A few things that help freshers walk in prepared:
- Be ready to explain one model you built in plain English — the problem, why you chose that approach, and how you knew it worked.
- Put numbers on your achievements: "8.5/10 GPA", "cut load time by 40%", "led a team of four" lands far better than "good grades" or "hard-working".
- For a virtual interview, test your internet, camera and mic in advance, sit somewhere quiet and well-lit, and still dress formally — it signals you are serious.
- Prepare two or three thoughtful questions to ask them about the team, the work and growth; "I have no questions" reads as low interest.
- It is fine not to know something — say how you would find the answer. Freshers are hired for how they think, not for knowing everything already.