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Agentic AI Software Engineer
Careers · Engineering
TeamEngineering
TypeFounding role
LocationRemote, or Philadelphia
Commitment10 to 20 hrs/week, flexible around a course load
The role
You’d help develop and extend Olo in two directions: an adapter layer for agent frameworks and the MCP protocol, and a Windows desktop version of the product. Both build on a working system, not a blank repo.
You work directly with the founder. Short video updates, PRs with context, one weekly sync.
What we look for
Strong systems programming in at least one of Swift, C#, C++, or Rust
Comfort with Python for tooling and adapters
Familiarity with how AI agents work: tool calling, MCP, LangChain or similar
Understanding of local process design: IPC, sandboxing, keeping data on the device
Ability to read an unfamiliar codebase and ship into it
Bonus: you’ve built an MCP server, a browser extension, or a desktop app people actually used
What we care about most is that you have built something that sits in the path of an AI agent, whether that was an MCP server, a tool-calling pipeline, a class project, or something you made because you wanted to see what an agent was actually sending. A repo or a short video of it working tells us more than a resume.
To apply
Email olosecurity@gmail.com with the subject line “Applying to Agentic AI Software Engineer” and include:
any agent, MCP, or interception work you have built (repo or demo)
why Olo
your availability
your socials (LinkedIn, X, GitHub, portfolio, anything else)
resume
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