Band B1 / B2 — Sierra Engineer
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; stabilising flaky simulations.
• Git & CI/CD: branching, merging, code reviews; running simulations and release enforcement in pipelines.
Valuable 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-centr
📌 Data Scientist (India)
🏢 EXL
📍 India