Modernising legacy code with AI
We're combining LLMs and transpilers to translate COBOL into Java. If you’re proficient in Rust, are interested in static analysis, and have a strong product mindset, this role could be a great fit. Come and build LLM pipelines and agents, that help the largest companies modernise their legacy codebases.
All large companies are stuck with legacy code running critical systems, written in languages that are dying and running on architectures that are increasingly expensive to maintain.
Our code translation pipeline automates the menial task of converting code from one language to another.
Previously human engineers would have had to read the legacy code and translate the codebase by hand, file by file, into the target language.
We're pioneering a novel approach to this problem, and leveraging LLMs to produce readable code in a fraction of the time.
AI Agents are currently the bleeding edge of applied AI research, and you may have seen projects like Devin, OpenDevin, SWE-Agent, or GitHub Copilot Workspace.
This role is to build an AI Agent to perform refactoring of the transpiled code, that could only be possible with an LLM.
You’ll collaborate with a small, talent-dense team of AI Engineers and Compiler Engineers to design and implement the AI Agent.
You'll love what we're working on if you're interested in:
You'll be joining a small group of engineers who are obsessed with the challenges posed by code translation, and who want to build tools to improve the process of writing and maintaining software.
Also nice to have (bonus points)
We use AI to modernise legacy code