Forward Deployed Engineer, Intelligent Automation

What you will do

We're hiring a Forward Deployed Engineer (FDE) to join Mimica's Intelligent Automation team. You'll embed with our enterprise customers, turn process and task-mining insights into working automations, and get them into production fast. This is a hands-on, customer-facing engineering role with a strong focus on agentic AI.

You'll design and ship AI agents built on frontier models such as Claude and Gemini, combine them with RPA and custom code running on Google Cloud, and bring what you learn in the field back to our product and delivery playbooks. As a senior member of the team, you'll also act as a technical leader and mentor for our Intelligent Automation developers, helping them grow their skills in RPA, AI, and engineering best practices.

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Forward Deployed Engineer, Intelligent Automation

Mimica, USA

Posted pay

Pay not posted

Location: USA
Work type: Remote
Level: Not given
Experience: 3+ years
Skills in the job text: Python
SQL
GCP
Docker
Terraform
BigQuery
Posted: 7 days ago
Last check: 6 h ago
Job type: Software engineering, ML / AI engineering

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Mimica

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About Mimica: funding, hiring and pay

Mimica

About Mimica: funding, hiring and pay

Company facts

Money raised: $26.2MSum of funding rounds on record
Newest round: Series BSep 24, 2025

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What you will do

Part of your day-to-day

Own customer deployments end to end – from discovery and solution design through build, testing, go-live and hypercare.
Turn process insights into automations – use process and task-mining data to find, size and prioritize the highest-value opportunities.
Design and build agentic AI solutions – create AI agents that reason, call tools and act across enterprise systems, using models such as Claude (Anthropic), Gemini (Google) and GPT (OpenAI).
Pick the right model and pattern for the job – compare models on accuracy, cost, latency, and data-privacy needs, and choose between agents, LLM steps, RPA, or plain code.
Make AI reliable in production – build evaluation sets, guardrails, human-in-the-loop checkpoints and monitoring so agents behave predictably at enterprise scale.
Build hybrid automation solutions – orchestrate AI agents, RPA bots, document AI and custom Python services into end-to-end workflows.
Integrate with enterprise systems – connect ERPs, CRMs, ticketing tools and legacy apps through APIs, MCP servers, connectors and UI automation.
Build and run on Google Cloud – deploy agents, services and pipelines on GCP using Vertex AI, Cloud Run, Cloud Functions, BigQuery and Pub/Sub, following our GCP architecture and security standards.
Lead and mentor Intelligent Automation developers – guide developers through design and code reviews, pairing and coaching; help them adopt agentic AI and engineering best practices.
Be the technical face to the customer – run workshops with business and IT stakeholders, explain trade-offs, and build trust with operations leaders.
Ship production-grade work – work in Git (branching, pull requests, code reviews) with automated testing, CI/CD, monitoring, exception handling, and security practices that meet enterprise standards.
Measure and prove value – track hours saved, error rates, and throughput, and present ROI to customer sponsors.
Close the loop with product – feed field insights, reusable components, and feature requests back to Product and Engineering, and help shape our delivery playbook.

Forward Deployed Engineer, Intelligent Automation

What you will do

Forward Deployed Engineer, Intelligent Automation

What you will do

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Part of your day-to-day

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