AI/ML Engineer Intern

Description

Build Intelligent Applications. Learn Fast. Shape the Future with AI.

About the Role

We are looking for a passionate and self-driven Fresher Python Developer who has a strong interest in AI, Agentic AI systems, LLM applications, and large-scale data processing. The ideal candidate should have good hands-on understanding of Python development along with exposure to frameworks and tools like LangChain, LangGraph, Vertex AI, and PySpark. This role is ideal for someone who enjoys solving real-world problems using AI and modern data technologies.

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Responsibilities

• Develop and maintain Python-based backend services and AI workflows
• Work on AI agents, RAG pipelines, and LLM-powered applications
• Build integrations using LangChain, LangGraph, and Vertex AI
• Process and transform large datasets using PySpark
• Work with APIs, vector databases, and cloud-based AI services
• Participate in system design discussions and technical brainstorming
• Debug, optimize, and improve application performance
• Collaborate with product, backend, and AI engineering teams

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Required Skills

• Good knowledge of Python programming
• Understanding of APIs, JSON, and REST services
• Basic understanding of AI/LLM concepts and AI agents
• Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks
• Basic understanding of Google Vertex AI or cloud AI platforms
• Knowledge of data structures and problem-solving
• Understanding of databases like PostgreSQL/MySQL
• Good analytical and logical thinking skills

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Preferred Skills

• Knowledge of PySpark for large-scale data processing
• Understanding of RAG (Retrieval-Augmented Generation)
• Familiarity with vector databases like Pinecone or Weaviate
• Exposure to FastAPI or Flask
• Basic cloud knowledge (AWS/GCP)
• Knowledge of Git and version control

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Eligibility

• B.Tech / MCA / BCA / M.Tech or related technical degree
• Freshers or candidates with up to 1 year of experience can apply

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Good to Have

• Personal AI projects or GitHub contributions
• Experience working with LLM APIs
• Participation in hackathons or AI competitions
• Strong curiosity to learn emerging AI technologies

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What You’ll Learn

• Real-world AI product development
• Agentic AI architectures
• Enterprise-scale AI systems
• Cloud-native AI deployment
• Big data processing workflows
• Modern backend engineering practices

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