RPA Developer assigned to your roadmap.
An RPA Developer automates work in systems that have no API, by driving the interface the way a person would. Unglamorous and often the only option.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our AI automation engineering services. Take the role on its own, or the whole discipline as one delivery team.
What an RPA Developer does on an AI automation team.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
RPA Developer skills and technology we assign for
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Building bots against legacy applications and desktop software with no integration path.
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Exception handling and recovery, which is most of the real work in a production bot.
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Migrating brittle rule-based bots toward model-assisted automation where it is more robust.
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Building resilient selectors that survive minor interface changes in the target application.
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Maintaining the orchestrator schedule and queue so bots do not collide with each other.
Seniority levels we assign.
Mid-level suits most bot development. Senior matters where the process is fragile or regulated. Seniority is one of the inputs in how the monthly fee is built.
When an RPA Developer is the right assignment.
Common in finance, insurance and logistics, where core systems predate modern APIs. On an ongoing roadmap this role is most often assigned alongside an AI Automation Engineer or a Workflow Automation Specialist. All 4 roles in this service line can sit on the same agreement, and capacity moves between them at the monthly cycle rather than requiring a new contract. At Azendo this sits inside AI automation engineering, on the same agreement as the rest of the team.
Questions about assigning an RPA Developer.
Is RPA obsolete now that AI exists?
Not where the target system has no API. Model-assisted automation is often more robust, and migrating brittle rule-based bots is common work.
How much maintenance do bots need?
More than vendors suggest. Every upstream interface change can break a bot, which is why ongoing capacity suits this better than a project.
Add RPA developer capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like, or you can talk to a service delivery manager first.
Assign a RPA Developer to your roadmap.
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