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You will identify and automate client processes by building AI agents on the company's stack. This involves conducting discovery sessions, creating technical specifications, and training client teams on the implemented solutions.
Forward Deployed Engineer, AI Staff โ MSPbots
Most MSPs know their processes are a mess. They can't write a usable SOP, don't know which of their workflows would actually make a good AI agent, and won't self-serve their way to one.
That's where you come in.
You'll sit inside the client's operation, extract the real process from the chaos, and ship a working agent on our stack โ in days, not months.
What you'll actually do:
๐น Run discovery sessions to find the 1โ3 processes worth automating (and say no to the rest)
๐น Turn a messy, undocumented process into a real spec
๐น Build the agent on our deepagents-based harness โ tools, subagents, memory, human-in-the-loop approvals
๐น Wire it into the client's real data, safely, with tenant isolation intact
๐น Run shadow-review until the client trusts it, then ship the runbook and train their team
Who we're looking for:
โ
2+ years in MSP operations (or 1+ year at MSPbots in a client-facing/delivery seat) โ you can read a ticket flow or collections process and know where the pain is
โ
Code-literate โ you don't need to write Python from scratch, but you need to catch when AI-generated code or SQL is wrong even though it runs
โ
Comfortable with ambiguity โ you can turn "our dispatch is a mess" into a spec without being handed a perfect ticket
โ
You've automated something yourself before, even informally โ a script, a workflow rule, a bot
โ
Confident on camera with a skeptical client, including when the answer is "this isn't ready to automate"
โ Willing to working between 8 AM - 5 PM CST
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