[Hiring] Forward Deployed Engineer @Mimica

Role Description

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.

• 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.

Qualifications

• 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, plus solid experience with REST APIs, JSON, SQL and system integration.
• Solid hands-on experience with Google Cloud Platform (GCP) – e.g. Vertex AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, IAM – and deploying production workloads on it.
• Strong Git skills: branching strategies, pull requests, code reviews, resolving merge conflicts and working in CI/CD pipelines (GitHub, GitLab or Cloud Build).
• Hands-on experience building and deploying agentic AI solutions with frontier models (e.g. Claude, Gemini, GPT) – prompt and context design, tool calling, retrieval (RAG), multi-step agents and evaluation – and a clear view of where they are and aren't reliable.
• Experience leading or mentoring developers through code reviews, pairing and coaching, and helping a team raise its technical standards.
• Ability to translate messy business processes into clear automation designs, with sound judgment on what to automate and what to leave alone.
• Confident communication with both executives and frontline operators; comfortable leading workshops and demos.

Bonus

• Experience with process or task mining tools (Celonis, UiPath Process Mining or similar).
• RPA certifications (e.g. UiPath Advanced Developer, Power Automate RPA Developer).
• Experience with agent frameworks and protocols (e.g. Claude Agent SDK, Google ADK / Vertex AI Agent Builder, LangGraph, Model Context Protocol, UiPath Agentic Automation, Copilot Studio).
• Google Cloud certifications (e.g. Professional Cloud Developer, Professional Machine Learning Engineer), plus experience with containers and infrastructure as code (Docker, Terraform).
• Background in a forward-deployed, solutions engineering or Automation Center of Excellence role.
• Domain knowledge in finance operations, insurance, banking or shared services.

Benefits

• Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.
• Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.
• Company-issued laptop, remote setup stipend, and co-working budget.
• Flexible schedules and location.
• Ample paid time off, in addition to local public holidays.
• Enhanced parental leave.
• Health & retirement benefits.
• Annual learning & development budget.
• Annual workaways and regular virtual & in-person socials.
• Opportunity to contribute to groundbreaking projects that shape the future of work.

Note

Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.