Python AI Intern

About the Role

Techolution is seeking an enthusiastic Python AI Intern to join our dynamic engineering team. This is an opportunity to gain hands-on experience with cutting-edge technologies like Python, Generative AI, RAG architectures, and AI agents, contributing to impactful solutions.

Internship Duration: 6 Months

PPO: Yes

Location: Hyderabad

Shift Timing: 2-11PM

Job Type: Full-Time

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

• 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, including embeddings, chunking, retrieval, semantic search, and context generation.
• Understanding of vector databases and their role in AI/RAG applications.
• 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.

Negotiable Skills:

• Basic understanding of Docker and containerization.
• Exposure to cloud platforms such as GCP, AWS, or Azure.