Software Engineer

We’re looking for three ambitious engineering interns who love building software and experimenting with AI.

At Byro, we’re building a platform that helps B2B teams turn their expertise into credible content. Think AI that understands a business, preserves each person’s voice, and helps a team turn its knowledge into something worth sharing.

We’re an early-stage startup. You’ll work directly with the founders, contribute to the actual product, and see how your technical decisions affect what users experience.

What you could work on

Depending on your strengths and interests, you’ll contribute across:

• AI engineering: build features using LLMs, retrieval, embeddings, and business context.
• Machine learning: test approaches, build evaluations, analyse failures, and improve output quality.
• Product engineering: build the APIs, integrations, data pipelines, and interfaces that make these features useful.

You won’t need to cover all three areas. We’re looking for people with complementary strengths who can learn and build together.

Who we’re looking for

You might be studying computer science, learning independently, or already spending your evenings building things. What matters is that you:

• Can write solid code in Python, JavaScript/TypeScript, or another relevant language.
• Have explored AI or ML beyond simply using a chatbot.
• Have built something you can show us—even a small side project, coursework project, or unfinished experiment.
• Enjoy figuring out why something doesn’t work and testing ways to improve it.
• Can take initiative, ask for help when needed, and explain your thinking.
• Care about making something useful.

Experience with LLM APIs, PyTorch, embeddings, vector databases, or model evaluation is a bonus. You don’t need previous professional experience or expertise in every tool.

What to expect

Real product work, close collaboration with the founders, and room to contribute your own ideas. We’ll scope your projects around your experience and the skills you want to develop.

This is an early-stage environment: priorities can change, and some problems won’t come with step-by-step instructions. Curiosity, communication, and willingness to learn matter.

How to apply

Send us a short introduction and something you’ve built: a GitHub repository, demo, project, or experiment.

Tell us what you contributed, what you learned, and which area interests you most: AI engineering, machine learning, or product engineering.

Before posting, add the compensation, internship duration, expected weekly hours, start date, and application contact.