RESPONSIBILITIES:
Kforce has a client that is seeking a Full Stack Engineer II (AI) in Phoenix, AZ.
Summary:
The Full Stack AI Engineer II designs, builds, tests, deploys, and operates enterprise-grade AI agents across digital and voice channels. This role combines full stack engineering, large language model application development, conversational design, cloud-native delivery, security, and production operations. The Engineer will translate business needs into dependable agent experiences that integrate with enterprise APIs and data while meeting measurable standards for quality, latency, containment, security, and observability.
Key Responsibilities:
* Build and maintain production LLM agents using prompt design, structured outputs, tool calling, retrieval patterns, workflow orchestration, and multi-agent coordination
* 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
* 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
* Develop Python and TypeScript/Node.js services, APIs, integrations, orchestration components, and lightweight user or operations interfaces required to support agent experiences
* 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
* 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
REQUIREMENTS:
* Bachelor's degree in Computer Science, Software Engineering, Information Systems
* Experience designing and operating production RAG pipelines, including ingestion, chunking, embeddings, vector/hybrid search, metadata filtering, re-ranking, grounding, and retrieval evaluation
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: ITWQG2194197
- Posted 2 hours ago
