Full Stack Engineer II

DescriptionKforce has a client that is seeking a Full Stack Engineer II in Phoenix, AZ.Key Tasks:* Production LLM agents: Build and maintain production LLM agents using prompt design, structured outputs, tool calling, retrieval patterns, workflow orchestration, and multi-agent coordination* Conversational platforms: Develop agent solutions using Google Customer Engagement Suite Agent Studio, Dialogflow CX, and Agent Development Kit (ADK), including intents, flows, tools, webhooks, and environment configuration* Voice agent engineering: Design low-latency voice experiences that optimize turn-taking speed, support barge-in, recover gracefully from speech recognition errors, manage silence and retries, and keep calls focused on successful resolution* Full stack development: Develop Python and TypeScript/Node.js services, APIs, integrations, orchestration components, and lightweight user or operations interfaces required to support agent experiences* Enterprise integration: Integrate agents with internal and external APIs, event-driven services, business systems, and governed data sources using resilient authentication, error handling, retries, idempotency, and rate-limit controls* Agent evaluation: Create conversational regression suites, simulation-based tests, golden conversation sets, quality rubrics, and release gates; Measure task completion, correctness, safety, latency, escalation quality, and user outcomes* Identity and access: Implement agent identity with Microsoft Entra Agent ID and standards-based OAuth 2.0/OIDC patterns, including token exchange, scoped authorization, secret handling, and least-privilege access* Cloud engineering: Build and operate services on Google Cloud Platform using Cloud Run, IAM, Secret Manager, BigQuery, logging, monitoring, and related managed servicesRequirements* Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience* 3+ years of professional software engineering experience, including hands-on backend or full stack development with Python and TypeScript/Node.js* 1+ year of hands-on experience building LLM-powered applications, conversational AI solutions, or production automation using prompts, tools, APIs, and evaluation methods* Experience designing RESTful APIs, asynchronous workflows, service integrations, and cloud-native applications* Working knowledge of OAuth 2.0, OIDC, service identities, token handling, secrets management, and least-privilege security practicesTechnical Competencies:* LLM and agent engineering: Prompting, tool calling, structured outputs, orchestration, evaluations, guardrails, release management* Conversational and voice AI: Dialogflow CX, Agent Studio, ADK, turn latency, barge-in, recognition recovery, containment* Application engineering: Python, TypeScript/Node.js, APIs, event-driven integration, testing, secure coding* Cloud and platform: GCP Cloud Run, IAM, Secret Manager, BigQuery, containers, Terraform* Identity and security: Entra Agent ID, OAuth 2.0, OIDC, token exchange, secrets, least privilege* DevOps and operations: Git, CI/CD, environment promotion, branch agents, logging, tracing, analytics, incident supportCore Behaviors:* Customer-focused problem solving and ownership from design through production support* Pragmatic engineering judgment that balances speed, reliability, security, maintainability, and cost* Curiosity and disciplined experimentation with rapidly evolving AI technologies* Clear communication of technical trade-offs, risks, metrics, and delivery status* Collaborative delivery with product managers, conversational designers, architects, security teams, QA engineers, and business stakeholdersJob TypeContractCompensation60 - $70