Generative AI Intern

Generative AI Intern (Unpaid)

Applications will only be accepted through the following site:

www.owlera.site

About Owlera

Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies.

Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers.

We're looking for curious, inventive, and ambitious students to join our Generative AI Internship and gain hands-on experience building with the tools that are reshaping every industry — large language models, AI agents, and multimodal generative systems.

About the Internship

As a Generative AI Intern, you'll work on realistic generative-AI challenges involving text generation, AI assistants, RAG systems, and agentic workflows — building applications that reason, create, and act with real language models.

You'll learn how AI practitioners turn raw model capabilities into working products — designing prompts and evaluation sets, orchestrating agents and tools, and handling the quirks of real-world model behavior.

Responsibilities

• Design and iterate on prompts for text generation, classification, and reasoning tasks.
• Build LLM-powered features using APIs (OpenAI, Anthropic, open-weight models).
• Implement retrieval-augmented generation (RAG) over documents and knowledge bases.
• Build simple AI agents that can use tools, browse, and complete multi-step tasks.
• Create evaluation sets and run model evaluations (accuracy, faithfulness, refusal behavior).
• Experiment with function calling, structured outputs, and prompt chaining.
• Prototype AI chatbots and copilots for realistic use cases.
• Work with embeddings, vector databases, and semantic search.
• Generate synthetic data to train or evaluate models.
• Implement guardrails and safety checks for model outputs.
• Fine-tune or LoRA-adapt smaller models for specific tasks.
• Compare models and select the right model for each task (cost vs quality tradeoffs).
• Experiment with multimodal models (text + image, vision-language tasks).
• Build simple demos with Streamlit, Gradio, or web interfaces.
• Track experiments and write clear documentation of results and learnings.
• Collaborate with other interns on cross-functional AI projects.
• Turn real-world problems into generative-AI product formulations.

Requirements

• Current student or recent graduate in Computer Science, AI, Data Science, or a related field — or a strong self-taught coding portfolio.
• Strong interest in large language models and generative AI.
• Basic programming skills (Python is a plus).
• Comfortable with basic math — probability, statistics, and linear algebra at an introductory level.
• Analytical and logical thinking with close attention to detail.
• Self-motivated and able to work independently on technical challenges.
• Comfortable experimenting, failing fast, and iterating.
• Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus.
• Previous professional machine-learning experience is not required.

What You'll Gain

• Hands-on experience building real generative-AI applications, not just theory.
• Practical experience with LLMs, RAG pipelines, and AI agents.
• Experience evaluating and improving AI systems on realistic tasks.
• Understanding of how AI features are designed, shipped, and iterated.
• Practical exposure to modern LLM APIs, vector databases, and agent frameworks.
• Portfolio-ready generative-AI projects built on realistic use cases.
• Personalized AI feedback on your work.
• Professional certificate upon successful completion.
• Mentorship and weekly learning sessions.
• Opportunity to strengthen your portfolio, resume, and interview readiness.

Internship Details

Role: Generative AI Intern

Location: Remote

Type: Internship (Unpaid)

Level: Entry Level

Duration: 6 Weeks

Commitment: Flexible (approximately 10–15 hours per week)

If you're fascinated by what large language models can build and want to learn how real generative-AI products are created, we'd love to hear from you.

Apply through

www.owlera.site