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Sierra Engineer

RPA Infotech Digital Inc.United States🇺🇸United StatesPosted Sep 21, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
20 hours ago

Job Description

Role: Sierra Engineer

Location: Remote

 

 

Experience

  • 4–6 years total in Conversational AI / agentic or virtual-assistant development (e.g., Dialogflow CX, Amelia, Kore.ai, Rasa, LLM-based agents).
  • 1–2 years hands-on Sierra, with at least one delivered/production Sierra project.
  • Strong programming background in TypeScript / JavaScript.

Core Responsibilities

  • Build and validate agents in Agent Studio using Journeys, Conditions, Rules, Policies, Tools, and Configuration.
  • Implement code-defined agent behaviour in the Agent SDK (TypeScript/JSX on Sierra's custom runtime) using hooks, tool registration, and lifecycle events.
  • Author instruction-driven and scenario-based simulations (Studio and code) and keep them stable and meaningful.
  • Integrate agents with APIs and enterprise/contact-centre systems, including transfer/routing to queues and numbers with attached data.
  • Participate in workspace-based development: merge requests, snapshots, and workspace reviews.
  • Execute releases under guidance, respecting critical-simulation gates and approvals.
  • Contribute to CI/CD (e.g., GitHub Actions) — running simulations and wiring release checks.

Mandatory Skills (per Sierra platform)

  • Agent Studio: conversational design, customer journeys, and the block-based editor (Journeys, Conditions, Rules, Policies, Tools, Configuration).
  • Agent SDK: TypeScript/JavaScript with JSX; SDK APIs (hooks, tool registration, lifecycle events); code-defined simulations; workspace/snapshot/release concepts.
  • Simulations: writing instruction-driven and scenario-based tests; critical-simulation enforcement; stabilizing flaky simulations.
  • Git & CI/CD: branching, merging, code reviews; running simulations and release enforcement in pipelines.

Good to Have

  • Ghostwriter (AI-assisted authoring): prompting, reviewing, validating, and merging AI-generated journeys/simulations.
  • Basic observability (traces/alerts) and analytics (CSAT, resolution/containment rate).
  • Contact-centre / IVR and telephony transfer (Genesys or similar) exposure.

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