Jr. Generative AI Engineer

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About the Role

• We’re looking for a smart, curious generalist with a beginner-to-intermediate understanding of AI tools and workflows. You don’t need to be an ML engineer — but you do need to understand how AI tools like ChatGPT, LLM APIs, image models, or automation platforms can be used to solve real-world problems.
• This is a

  hands-on, utility-first

  role: you’ll be experimenting, testing tools, building small workflows, and helping non-technical teams apply AI effectively.

Responsibilities

• Research and test AI tools, APIs, and open-source projects
• Assist in building simple AI-based workflows (chatbots, summarizers, auto-taggers, etc.)
• Write prompts, test outputs, and improve AI response quality
• Help connect AI tools with existing systems (via Zapier, Python, Google Sheets, etc.)
• Create basic documentation and explainers for internal teams
• Stay updated with new tools, releases, and use-cases

What We’re Looking For

• Basic working knowledge of generative AI (LLMs, vision models, etc.)
• Familiarity with tools like OpenAI, Gemini, Claude, Hugging Face, LangChain, or similar
• Knows how to use Python or no-code/low-code tools to connect things
• Logical thinker who can break down problems and test solutions
• Hungry to learn, experiment, and grow with minimal supervision
• Bonus: familiarity with prompt engineering or basic model fine-tuning

Ideal Background

• Recent graduate or final-year student (any stream – CS, engineering, design, business, etc.)
• Completed an AI/ML course, bootcamp, or hands-on project
• Portfolio, GitHub, or personal projects using AI? Even better.

What You’ll Get

• Exposure to cutting-edge tools and real-world problems
• Mentorship from cross-functional teams
• Room to grow into ops, product, data, or engineering roles
• A low-bureaucracy, high-initiative environment