AI Software Engineer, Agent Harness

About the role

The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code.

What you'll do

• Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces
• Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs
• Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation
• Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks
• Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship

What you need

• 10–18 yrs of experience
• Python
• C++
• Go
• LLMs
• Machine learning
• Rust
• Any graduate