Forward Deployed Engineer, Intelligent Automation

present of AI; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Mimica turns employee desktop activity into process maps and AI agents that execute the work, enabling automation directly with customers. The forward deployed engineer blends AI agents, RPA and custom code to turn messy workflows into reliable processes.

You will read real work as it happens and create repeatable automation that runs, learns, and improves. The role emphasizes design, testing and verification of agent behavior, balancing human judgment with automated tooling to ensure

Qualifications

• Hands-on delivery experience with customers.
• Ability to translate messy desktop workflows into reliable process maps.
• Judgment to know when an agent, a script or a rule is the right tool.

Responsibilities

• Design, test and correct agent behavior in live settings.
• Build agents on frontier models and pair them with RPA and cloud code.
• Evaluate agent output and verify reliability in real customer tasks.
• Develop end-to-end agents and test against real workflows.

Skills

Agent building

LLMs

RPA

Scripting

Process mapping

GCP

Tools

GCP

LLMs

Job description

A forward deployed engineer in intelligent automation typically needs to build and ship working automations directly with customers, mixing AI agents, RPA and custom code, and to translate messy desktop workflows into reliable process maps. A strong candidate brings hands on delivery experience, comfort working close to users, and the judgment to know when an agent, a script or a rule is the right tool. Tying this to a company that turns desktop activity into process maps and agents means reading real work as it happens and turning it into something that runs.

How it fits the AI era

This kind of role sits where AI changes the work most: agents can draft, decide and act, so the engineer shifts from writing every step to designing, testing and correcting agent behavior. What stays human is understanding the actual process, spotting where an agent will fail, and earning trust with the people whose work is being automated. The job is less about raw coding volume and more about judgment and verification.

How it builds AI experience

The AI experience here comes from building agents on frontier models and pairing them with RPA and cloud code, then seeing how they hold up in real customer settings. That means learning prompt and tool design, evaluation of agent output, and the limits of automation on live desktop workflows. Building small agents end to end and testing them against real tasks is the practical way to prepare.

Worth showing

• Agent building with LLMs
• RPA and scripting
• Process mapping
• Cloud delivery on GCP

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Mimica

Mimica turns employee desktop activity into process maps and AI agents that execute the work, per the company.