AI Engineer
Job Description
KēSTA I.T. is seeking an experienced AI Agent Developer & Test Engineer to join a cutting-edge team focused on building, testing, and supporting next-generation AI-powered applications. This role combines hands-on AI development with rigorous testing and quality assurance responsibilities, ensuring intelligent agent workflows perform reliably, securely, and consistently throughout the software development lifecycle.
Responsibilities
- Design, develop, and maintain AI agent workflows utilizing modern agent orchestration frameworks.
- Build and execute comprehensive testing strategies for AI agent systems, including unit, integration, regression, and end-to-end testing.
- Create and maintain regression test suites to ensure defects remain resolved over time.
- Implement effective LLM mocking and simulation strategies to support deterministic and repeatable testing.
- Develop and maintain automated end-to-end testing coverage for user-facing applications and workflows.
- Maintain production monitoring, logging, tracing, and observability practices for AI systems.
- Support cloud-based application deployments and ongoing operational maintenance.
- Collaborate closely with software engineers, architects, product owners, and QA teams to deliver high-quality AI solutions.
- Participate in troubleshooting, root-cause analysis, and production support activities.
Required Qualifications
- Professional experience developing AI-powered applications using agent frameworks such as LangGraph and/or LangChain.
- Strong Python development experience.
- Experience with automated testing frameworks including pytest and pytest-asyncio.
- Experience designing and executing unit tests for complex workflow-based applications.
- Experience testing distributed or orchestrated agent workflows from end to end.
- Strong understanding of test isolation, mocking strategies, and simulation techniques.
- Experience managing regression testing programs and quality assurance processes.
- Hands-on experience with Playwright or similar end-to-end testing frameworks.
- Experience producing and interpreting test coverage metrics and reporting.
- Familiarity with structured output validation and JSON schema testing.
- Experience implementing monitoring and observability solutions for production applications.
- Cloud application development and support experience within modern cloud platforms (GCP preferred).
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with AI evaluation and observability tools such as LangSmith, RAGAS, or similar platforms.
- Experience managing prompt versioning and prompt lifecycle processes.
- Knowledge of adversarial testing, red-team testing, and AI security validation methodologies.
- Experience monitoring token consumption, model utilization, and AI operational costs.
- Experience working with document extraction, OCR, or intelligent document processing solutions.
- Experience supporting applications within regulated industries such as financial services, healthcare, or government.
Preferred Platform & DevOps Experience
- Google Cloud Platform (GCP)
- Cloud Run
- Terraform
- Azure DevOps
- CI/CD pipeline design and automation
- Infrastructure-as-Code (IaC) best practices
Location
Midvale, UT • On-site, Remote
Job Details
Location: Midvale, UT
Job Type: hybrid or office
Posted: Jun 2, 2026
Categories: Software Engineering
Job ID
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