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# AI Agent Developer and Tester

- **Company:** Kforce Inc.
- **Location:** Salt Lake City, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Cloud Computing, Code Coverage, Data Validation, JSON, Python (Programming Language), Node.Js, Regression Testing, Mockito, Azure DevOps Pipelines, User Interface Testing, Management of Software Versions, Apex Code, Google Cloud, Cloud Platform System, Large Language Models, Backend, Pytest, Integration Tests, Playwright, Virtual Agents, Terraform
- **Published:** June 1, 2026
- **Apply:** https://www.dice.com/job-detail/0544c9ff-e592-46de-ab2d-319eada4924d

## About the Role

* Hands-on experience with LangGraph and/or LangChain
 * Strong Python development skills, including pytest and pytest-asyncio
 * Proven experience testing AI/LLM-driven systems, including: Unit testing with mocked state; End-to-end workflow validation
 * Experience implementing LLM mocking strategies to control non-deterministic outputs
 * Experience with Playwright or similar tools for E2E UI testing
 * Familiarity with structured data validation (JSON schema)
 * Experience working in cloud environments (Google Cloud Platform preferred, others acceptable)
 * Experience with LangSmith, RAGAS, or similar evaluation tools
 * Prompt versioning and lifecycle management
 * Experience with adversarial/red-team testing of LLM systems
 * Experience with token usage and cost instrumentation
 * Experience with document processing or OCR pipelines
 * Background in financial services or regulated environments

Experience with:

 * Google Cloud Platform (Cloud Run)
 * Terraform
 * Azure DevOps pipelines

## Description

Kforce has a client in SLC that is seeking an AI/Agent Developer & Tester to design, build, and validate LangGraph-based agent workflows within the APEX platform., This role is highly execution-focused, with ownership of testing strategy, quality, and reliability across AI agent systems-from unit-level validation through end-to-end workflows and production monitoring. The AI Agent Developer and Tester will be responsible for ensuring agent accuracy, stability, and scalability in a non-deterministic LLM environment, while also driving comprehensive test coverage across backend workflows and UI experiences., * Develop and implement AI agent workflows using LangGraph / LangChain

 * Own end-to-end testing strategy, including:
 * Node-level unit testing (isolated components with mocked state)
 * Graph-level integration testing (full workflow execution)
 * Regression test suite design and maintenance
 * Establish LLM testing frameworks, including mocking, stubbing, and deterministic validation strategies for non-deterministic systems
 * Manage flaky test mitigation, applying controlled seeds, mocked outputs, or assertion thresholds
 * Own regression discipline-ensure every defect is paired with a regression test before release
 * Build and maintain E2E test coverage using Playwright across APEX portals, actively identifying and closing coverage gaps
 * Implement test coverage reporting and enforce quality standards
 * Validate structured outputs (JSON schema enforcement)
 * Ensure production observability of agent behavior and performance
 * Support and manage cloud infrastructure (Google Cloud Platform preferred) for the agent ecosystem


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