Software Engineer with Python & Docker experience
Build and validate containerised Python workloads for AI training pipelines.
Build and validate containerised Python workloads for AI training pipelines.
Create and solve advanced Python problems for AI research applications.
Evaluate AI agent behaviour and build Python tooling for agent benchmarks.
Annotate agentic coding trajectories for online and offline AI training tasks.
Build full-stack AI applications on Google Cloud Platform.
Lead design and deployment of generative AI systems and LLM applications.
Build billing pipelines and test strategies with Python, SQL and AI integrations.
Analyze GitHub issues and evaluate software quality for LLM training tasks.
Find real vulnerabilities in private repositories and turn them into difficulty-probed cybersecurity tasks for frontier LLMs.
This is a remote, project-based role for software engineers with 1–3 years of professional experience.
Paid, part-time remote project helping train frontier AI models on cybersecurity workflows.
This is a remote, project-based role for software engineers with 1–3 years of professional experience.
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