Python AI Intern

About the Role

Python AI Intern at Techolution. This is a 6-month internship with a possibility for a full-time offer (PPO). The role is based in Hyderabad and involves a shift timing of 2-11 PM.

Key Responsibilities

• Develop and maintain Python-based applications and backend services for AI-powered solutions.
• Apply strong Python fundamentals, data structures, and algorithms to solve real-world engineering problems.
• Build and enhance Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications.
• Work with vector databases, embeddings, semantic search, and retrieval systems.
• Assist in developing AI agents, agent orchestration workflows, and tool-based AI systems.
• Integrate Large Language Models (LLMs) and AI services into applications through APIs and modern frameworks.
• Develop and integrate REST APIs and backend services to support AI applications.
• Explore and implement multimodal AI solutions involving text, images, documents, and other data formats.
• Write clean, modular, maintainable, and production-quality Python code.
• Troubleshoot, debug, test, and optimize AI applications and backend services.
• Collaborate with experienced engineers to understand requirements and translate them into scalable technical solutions.
• Participate in code reviews, technical discussions, documentation, and continuous improvement initiatives.
• Continuously explore emerging AI technologies, frameworks, and techniques and contribute ideas for innovation.

Requirements & Tech Stack

• Python programming fundamentals
• Object-oriented programming
• Data structures and algorithms
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) architecture (including embeddings, chunking, retrieval, semantic search, and context generation)
• Vector databases
• AI agents
• REST APIs and backend development concepts
• Docker and containerization (negotiable)
• Cloud platforms (GCP, AWS, or Azure) (negotiable)

Qualifications

• Strong understanding of Python programming fundamentals and object-oriented programming.
• Strong understanding of data structures and algorithms and the ability to apply them to solve problems.
• Basic understanding of Generative AI, Large Language Models (LLMs), and AI application development.
• Understanding of RAG architecture.
• Understanding of vector databases.
• Basic understanding of AI agents, agent orchestration, tools, and AI safety/guardrails.
• Understanding of REST APIs and backend development concepts.
• Strong problem-solving and analytical thinking abilities.
• Demonstrated ownership, accountability, and willingness to learn.
• Effective communication and collaboration skills.
• Strong seeker mindset with a passion for learning, innovation, experimentation, and continuous improvement.