About the Role
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. You'll be on the small team making this happen. That means real ownership, fast feedback loops, and the satisfaction of seeing your work used by engineers every single day. If you're someone who loves building things that actually get used — this is for you.
What You Will 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 We'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
You take ownership — you see a problem, you go fix it, and you follow through
Clear communicator who works well with others and knows when to ask for help
Bonus Points
Hands-on experience with Prompt Engineering, RAG, or AI Agents
Experience building AI tools, developer tools, or internal platforms
Exposure to DevOps, CI/CD, or engineering automation
Experience with knowledge systems, search systems, or documentation platforms
Open-source contributions or an active GitHub portfolio
