The opportunity
Engineering teams lose hours every week to repetitive tasks, context-switching, and hunting for the right information. We're fixing that — by building an internal AI platform that makes every developer sharper, faster, and less blocked.
What you'll do
Design and build internal AI productivity tools that engineers actually reach: for — coding assistants, knowledge retrieval systems, and workflow automation
Develop LLM-powered applications for real engineering use cases: code generation, code understanding, and test automation
Integrate AI capabilities across the full software development lifecycle,: from requirements all the way through to deployment
Embed with engineering teams to uncover bottlenecks and ship AI-driven solutions that remove real friction
Experiment with and implement techniques like Prompt Engineering, RAG: (Retrieval-Augmented Generation), and AI Agents
Stay close to the frontier: continuously evaluate emerging AI technologies and adopt what genuinely moves the needle
What they're looking for
- Bachelor's degree or above in Computer Science or a related field
- Less than 5 years of experience post-graduate (to qualify for PTP program)
- Strong programming skills in at least one language (e.g., Python, Java, Go, JavaScript)
- Solid understanding of data structures and algorithms
- A working understanding of large language models (LLMs) and how they can be applied practically
- You've used AI tools like ChatGPT, Copilot, or similar: and you've thought about how to use them better
- Familiarity with backend or web development fundamentals
- Comfortable working with APIs and integrating systems together
