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Forward Deployed Engineer, Automation

Listing for: mimica.ai
Full Time position Listed on 2026-11-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR

Job Description & How to Apply Below

Position: Forward Deployed Engineer, Intelligent Automation
WHAT WE ARE BUILDING

Mimica https://(Use the "Apply for this Job" box below). is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start.

Mimica automatically analyzes your team's work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence.

We've raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group.

OUR TEAM

Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication – helping some of the world's leading organizations transform the way work gets done with AI.

YOUR MISSION

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.

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, Big Query 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,…
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