RESPONSIBILITIES:
Kforce 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 services
REQUIREMENTS:
* 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: Google Cloud Platform 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: kforcecx
- Position Id: ITWQG2194123
- Posted 4 hours ago
