Full Stack Engineer II

Quick Facts

• Role: Full Stack Engineer II (LLM, conversational and voice AI agent engineering)

Description

You will build and maintain production LLM and conversational/voice agents, including orchestration, tool calling, structured outputs, retrieval patterns, and multi-agent coordination. You will develop Python and TypeScript/Node.js services and APIs that integrate with internal and external systems, then create evaluation suites and release gates to measure quality, safety, and latency. You will operate the solutions on Google Cloud Platform with secure identity, secret handling, and monitoring.

Responsibilities

• Build and maintain production LLM agents (prompt design, structured outputs, tool calling, retrieval, orchestration, multi-agent coordination)

• Develop agent solutions in Google Customer Engagement Suite Agent Studio and Dialogflow CX using intents, flows, tools, webhooks, and environment configuration

• Engineer low-latency voice experiences (turn-taking speed, barge-in, graceful recovery from speech recognition errors, silence/retry handling)

• Build full-stack services and APIs in Python and TypeScript/Node.js, including integrations and orchestration components

• Integrate agents with internal/external APIs and event-driven services using resilient authentication, error handling, retries, idempotency, and rate-limit controls

• Create agent evaluation assets (conversational regression suites, simulation tests, golden conversation sets, quality rubrics, release gates) and measure outcomes such as completion, correctness, safety, latency, and escalation quality

• Implement agent identity and access using Microsoft Entra Agent ID and OAuth 2.0/OIDC with token exchange, scoped authorization, secret handling, and least-privilege access

• Build and operate on Google Cloud Platform using Cloud Run, IAM, Secret Manager, BigQuery, logging, monitoring, and other managed services

Requirements

• Bachelor’s degree in Computer Science/Software Engineering/Information Systems (or equivalent practical experience)

• 3+ years of professional software engineering with hands-on backend or full stack development in Python and TypeScript/Node.js

• 1+ year building LLM-powered applications, conversational AI solutions, or production automation using prompts, tools, APIs, and evaluation methods

• Experience designing RESTful APIs and asynchronous workflows

• Working knowledge of OAuth 2.0, OIDC, service identities, token handling, secrets management, and least-privilege security

Benefits

• Medical/dental/vision insurance

• HSA and FSA

• 401(k)

• Life and disability insurance, plus ADD insurance (eligible employees)

• Paid time off for salaried personnel; paid sick leave for hourly employees on a Service Contract Act project