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Mimica

Forward Deployed Engineer – Intelligent Automation

Mimica

. Own customer deployments end to end, from discovery and solution design through build, testing, go-live and hypercare .

Posted 11/5/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying agentic AI solutions and automation engineering, with strong capabilities in Python, Google Cloud Platform, and RPA platforms. Proven ability to lead teams, mentor developers, and communicate effectively with stakeholders to drive automation initiatives.

Highest-signal resume keywords
Python ProgrammingGoogle Cloud Platform (GCP)Robotic Process Automation (RPA)REST APIs and System IntegrationAI Solution Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Automation EngineeringAgentic AI SolutionsTask MiningSQLJSONCI/CD PipelinesGit Version ControlModel EvaluationProcess Automation DesignMonitoring and Exception Handling
Soft Skills
Confident CommunicationTeam LeadershipMentoringWorkshop FacilitationStakeholder Engagement
Tools & Technologies
UiPathMicrosoft Power AutomateAutomation AnywhereBlue PrismGoogle Cloud FunctionsBigQueryPub/SubMCP ServersDocument AIAPIs
Certifications & Qualifications
RPA CertificationsGoogle Cloud Certifications
Industry Keywords
Finance OperationsInsuranceBankingShared ServicesAutomation Center of Excellence

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformPythonRPASQL

About the role

Key responsibilities & impact
  • Own customer deployments end to end, from discovery and solution design through build, testing, go-live and hypercare
  • Turn process and task-mining insights into prioritized automations
  • Design and build agentic AI solutions using Claude, Gemini and GPT
  • Compare models based on accuracy, cost, latency and data-privacy needs
  • Choose between agents, LLM steps, RPA or plain code
  • Build evaluation sets, guardrails, human-in-the-loop checkpoints and monitoring for reliable production AI
  • Orchestrate AI agents, RPA bots, document AI and custom Python services into workflows
  • Integrate ERPs, CRMs, ticketing tools and legacy applications through APIs, MCP servers, connectors and UI automation
  • Deploy agents, services and pipelines on Google Cloud using Vertex AI, Cloud Run, Cloud Functions, BigQuery and Pub/Sub
  • Lead and mentor Intelligent Automation developers through design and code reviews, pairing and coaching
  • Run workshops with business and IT stakeholders and explain technical trade-offs
  • Work in Git with automated testing, CI/CD, monitoring, exception handling and security practices
  • Track hours saved, error rates and throughput and present ROI to customer sponsors
  • Feed field insights, reusable components and feature requests back to Product and Engineering

Requirements

What you’ll need
  • Software engineering, automation engineering, or technical consulting experience, including at least 3 years delivering automation for enterprise clients
  • Hands-on production experience with at least one major RPA platform (UiPath, Microsoft Power Automate, Automation Anywhere or Blue Prism)
  • Strong Python skills
  • Solid experience with REST APIs, JSON, SQL and system integration
  • Solid hands-on experience with Google Cloud Platform (GCP), including deploying production workloads
  • Strong Git skills, including branching strategies, pull requests, code reviews, resolving merge conflicts and CI/CD pipelines
  • Hands-on experience building and deploying agentic AI solutions with frontier models such as Claude, Gemini or GPT
  • Experience with prompt and context design, tool calling, retrieval (RAG), multi-step agents and evaluation
  • Experience leading or mentoring developers through code reviews, pairing and coaching
  • Ability to translate business processes into automation designs
  • Confident communication with executives and frontline operators; comfortable leading workshops and demos
  • Bonus: Experience with process or task mining tools
  • Bonus: RPA certifications
  • Bonus: Experience with agent frameworks and protocols
  • Bonus: Google Cloud certifications, containers and infrastructure as code
  • Bonus: Background in a forward-deployed, solutions engineering or Automation Center of Excellence role
  • Bonus: Domain knowledge in finance operations, insurance, banking or shared services

Benefits

Comp & perks
  • Generous compensation + stock options
  • Distributed work: Work from anywhere - fully remote, in our hubs, or a mix
  • Company-issued laptop
  • Remote setup stipend
  • Co-working budget
  • Flexible schedules and location
  • Ample paid time off, in addition to local public holidays
  • Enhanced parental leave
  • Health benefits
  • Retirement benefits
  • Annual learning & development budget
  • Annual workaways
  • Regular virtual & in-person socials
  • Opportunity to contribute to groundbreaking projects that shape the future of work