AI Intern

Aiotrix Private Limited; Mangaluru; Vor Ort; INR 300.000 - 500.000; Vollzeit

Zusammenfassung

Aiotrix Private Limited in Mangaluru is seeking a motivated AI Intern to assist in projects that blend AI, machine learning, and software engineering. This role is tailored for fresh graduates eager to grow in a hands-on environment and offer support to engineering and AI teams.

Key tasks include working with AI prototypes, validating data, and collaborating with engineers to integrate AI capabilities into applications. The ideal candidate should possess a Bachelor's degree in Computer Science or a related area, along with strong programming fundamentals and an interest in modern AI systems.

Qualifikationen

• Bachelor's degree or recent completion in Computer Science or related fields.
• Strong programming fundamentals and involvement in at least one AI or software project.
• Basic understanding of software development workflows and Git.

Aufgaben

• Assist with AI-powered prototypes using LLM APIs.
• Prepare, clean, transform, and validate data for machine learning workflows.
• Follow Git-based development practices effectively.

Kenntnisse

Programming fundamentals

Basic understanding of APIs

Knowledge of JSON

Curiosity for modern AI systems

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Scikit-learn

PyTorch

TensorFlow

Jobbeschreibung

Qualifications

• Bachelor's degree or recent completion in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Strong programming fundamentals and at least one meaningful AI, ML, data, or software project.
• Basic exposure to AI, ML, LLMs, RAG, data engineering, backend engineering, or product engineering through projects, internships, coursework, or self-learning.
• Basic understanding of APIs, JSON, databases, Git, and software development workflows.
• Curiosity for modern AI systems and the ability to learn from a team building reliable product features.

Job Description

As an AI Intern at Aiotrix, you will begin your career by working with intelligent systems that combine machine learning, large language models, retrieval, automation, and practical software engineering. This role is designed for fresh graduates who are curious, disciplined, and excited to grow inside a hands-on AI engineering environment.

You will support engineering, product, and AI teams on experiments, assistants, workflow prototypes, evaluation cases, and product integrations. You will learn how AI ideas are tested, refined, documented, and gradually moved toward reliable product capabilities.

Responsibilities

• Assist with AI-powered prototypes using LLM APIs, embeddings, retrieval systems, and automation workflows.
• Help develop prompts, structured outputs, small RAG experiments, evaluation cases, and model integration logic under guidance.
• Prepare, clean, transform, and validate data for AI and machine learning workflows.
• Work with backend, frontend, and AI engineers to understand how AI capabilities are integrated into real applications.
• Test AI behavior, identify failure cases, record observations, and document system behavior clearly.
• Support experiments around assistants, predictive systems, document intelligence, and intelligent automation.
• Follow Git-based development practices and participate in code reviews, documentation, and team rituals.
• Stay updated with emerging AI tools, model capabilities, engineering patterns, and responsible AI practices.

Preferred qualifications

• Understanding of machine learning fundamentals, LLMs, prompt engineering, embeddings, or retrieval-augmented generation.
• Hands-on exposure to tools such as LLM APIs, Pydantic, LangChain, LlamaIndex, Scikit-learn, PyTorch, TensorFlow, or similar tools is a plus.
• Ability to learn quickly, debug patiently, and turn experiments into usable features.
• Strong communication skills and the ability to explain AI behavior, limitations, and trade-offs clearly.
• Portfolio projects, internships, research work, or hackathon builds in AI, ML, data, or software engineering will be valued.