The Software Intern (AI) works alongside experienced engineers to support the design, development, deployment, and enhancement of product features, internal tools, and services powered by modern AI models and technologies. Interns rotate across projects rather than staying on a single one, gaining exposure to multiple areas of DataCore’s AI work — from product-facing intelligence features to the internal tooling that supports engineering across the company.

Reporting to the Director – AI Solutions, this role is based in DataCore’s Bangalore, India technical center of excellence and is ideal for students who want hands-on experience applying artificial intelligence to real-world problems in a production software environment, and who enjoy picking up unfamiliar codebases and technologies quickly.

Key Responsibilities

• Work across multiple AI projects during the internship, partnering with mentors and other interns
• Code, test, debug, document, and maintain software
• Learn and apply current AI technologies across the product development lifecycle
• Present outcomes and findings to the team
• Maintain the highest level of standards and integrity

Ideal Candidate Profile

Education & Experience

• 2027 Graduates / Final-year Bachelor’s or Master’s degree in Computer Science Engineering, AI & ML Engineering, Data Science, or a related field, with a GPA of 7+ or 70% and above
• Proficiency in Python required
• Familiarity with LLMs and AI APIs such as OpenAI or similar, and a basic understanding of REST APIs
• Basic front-end development skills

Skills & Abilities

• Strong interest in AI/ML, with a basic understanding of concepts such as neural networks, deep learning, transformers, language models, embeddings, and model training/fine-tuning
• Fast learner, self-motivated, and confident interacting with other interns and DataCore team members
• Excellent written and verbal communication skills
• Able to work independently, while comfortable asking for help when needed, and capable of completing assigned tasks on time
• Strong problem-solving and algorithmic skills, demonstrated through competitive programming or personal projects, a plus
• Demonstrable interest in AI/ML through personal projects, research, hackathons, or open-source contributions
• Continuous self-led learner, comfortable picking up new applications, repositories, and technologies through online sources