🛠 Tech Stack

💼 About This Role

You'll build AI-powered workflows using LLMs and design RAG pipelines with real-world data. You'll work directly with customers to deploy solutions and support adoption, translating business problems into working AI. This role offers exposure to cutting-edge AI at a global market leader.

🎯 What You'll Do

• Build and iterate on AI-powered workflows using LLMs
• Design and implement RAG pipelines with real-world data
• Integrate AI models with APIs and backend systems
• Work with customers to understand use cases and deploy solutions

📋 Requirements

• Pursuing a degree in Computer Science or Software Engineering
• Strong fundamentals in Python data structures
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
• Familiarity with vector databases (FAISS, Pinecone, etc.)

✨ Nice to Have

• Experience with LangChain or LlamaIndex frameworks
• Knowledge of embeddings and semantic search
• Ability to explain projects end-to-end

🎁 Benefits & Perks

• 🏖️ Hybrid work (2 days office, 3 days remote)
• 🚀 Market disrupting global company
• 📈 Endless internal career opportunities
• 🌍 Global presence with 30+ countries

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min

🚩 Heads Up

• Promotional language with limited concrete detail about intern support
• Broad scope may imply expectations beyond typical intern level