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# Full Stack Engineer II

- **Company:** Kforce Inc.
- **Location:** Phoenix, AZ, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, BigQuery, Business Systems, Cloud Computing, Cloud Engineering, Information Systems, Continuous Integration, DevOps, Identity and Access Management, Python (Programming Language), Key Management, Node.Js, OAuth, OpenID, Role-Based Access Control, Release Management, Azure Active Directory, Secure Coding, Software Engineering, Systems Integration, TypeScript, Speech Recognition, Workflow Management Systems, Data Logging, Google Cloud, Spring Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Git, Information Technology, Low Latency, Enterprise Integration, Restful APIs, Terraform, Webhooks
- **Published:** November 13, 2026
- **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5XUUd-MjE5NDEyM1Qxfjk5/

## About the Role

* 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 practices

Technical 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 support

Core 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 stakeholders

## Description

* 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 services