Senior Forward Deployed Engineer

UiPath UiPath · Enterprise · Bucharest, Romania · Review

Senior Forward Deployed Engineer responsible for delivering scoped customer implementations of AI-driven agentic automation solutions using UiPath technologies. This role involves designing, building, integrating, and iterating on AI-enabled workflows, applying prompt engineering, debugging across systems, and contributing to reusable assets.

What you'd actually do

  1. Design and build AI-driven workflows, agents, and automations, aligned with UiPath's architecture and platform standards without requiring regular guidance.
  2. Build AI Agents using UiPath technologies, including Maestro or Agent Builder
  3. Apply practical prompt engineering skills to reliably guide agent behavior and understand model tradeoffs (capability, latency, cost) when selecting LLM providers for customer use cases.
  4. Extend platform functionality using APIs, SDKs, and connectors to address unique customer requirements.
  5. Debug across systems including AI inference, data pipelines, orchestration layers, and integration points, resolving most issues independently.

Skills

Required

  • Python and/or TypeScript
  • building and shipping integrations using APIs
  • working with cloud services or enterprise systems
  • customer-facing environments
  • written and verbal communication
  • independently drive scoped projects
  • manage risks
  • deliver against deadlines

Nice to have

  • prompt engineering
  • LLM providers
  • AI inference
  • orchestration layers

What the JD emphasized

  • own the delivery of scoped customer implementations
  • production-grade agentic automation solutions
  • FDEs ship tailored solutions directly in customer environments
  • drive execution on well-defined workstreams
  • delivering production software
  • independently drive scoped projects

Other signals

  • customer implementations
  • production-grade agentic automation solutions
  • AI-enabled workflows
  • AI Agents using UiPath technologies
  • prompt engineering
  • LLM providers
  • customer use cases
  • AI inference
  • orchestration layers