Lead Software Engineer in Test – Agentic AI (Remote - US)
RemoteRemoteFull-time
AI Summary
Leads quality engineering strategy and execution for AI-powered applications and distributed systems, designing automation frameworks and validating complex AI agent behaviors across UI, API, backend, and orchestration layers.
About this role
Why join Nextech?
We are a leader in specialty healthcare technology solutions.
We’re committed to hiring and retaining talent, which is why we invest in our employees through competitive pay, a generous bonus structure, great healthcare, a comprehensive wellness program, and many other benefits.
If you are a software engineer, finance or accounting professional, customer support specialist, or a business development expert with a passion for healthcare technology (just to name a few), we want to hear from you.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics are encouraged to apply. If you are a candidate in need of assistance or an accommodation in the application process, please contact talent@nextech.com.
Job Summary:
The Lead Software Engineer in Test – Agentic AI is responsible for leading quality engineering strategy and execution across next-generation AI-powered applications and distributed systems. This role drives the design of scalable automation frameworks, validates complex AI agent behaviors, and ensures high-quality delivery across UI, API, backend, and AI orchestration layers.
All activities must be performed in compliance with Equal Employment Opportunity (EEO) laws, HIPAA, ERISA, and all other applicable regulations.
Essential Functions
In addition to adhering to Nextech’s conduct and behavioral standards, responsibilities include:
Minimum Requirements
Bachelor’s degree in Computer Science, MIS, Engineering, or a related technical field.
8+ years of experience in Software Development or Software Engineer in Test (SDET/SET) roles.5+ years of hands-on experience developing automation frameworks using JavaScript/TypeScript or Java.
Strong experience with automation tools such as Playwright, Cypress, Postman, K6, or equivalent frameworks.2+ years of experience testing AI-powered applications, LLM systems, Agentic AI platforms, orchestration frameworks, or autonomous workflows.
Hands-on experience validating agent orchestration workflows, conversational AI applications, multi-step reasoning systems, and AI-driven business processes.
Experience testing AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
Strong expertise in API testing, backend integration testing, UI automation, and end-to-end workflow validation.
Solid understanding of automation architecture, design patterns, anti-patterns, dependency injection, and inversion of control principles.
Experience working in cloud-native and containerized environments (Azure, AWS, GCP, Docker, Kubernetes).Proven experience integrating automated test suites into CI/CD pipelines and distributed cloud environments.
Experience validating asynchronous, event-driven, and distributed systems with a focus on resiliency and fault tolerance.
Strong analytical, debugging, troubleshooting, and problem-solving skills.
Excellent organizational, communication, and stakeholder collaboration skills in Agile environments.
Experience with AI observability, telemetry, RAG pipeline validation, vector databases, or prompt evaluation frameworks (preferred).
Preferred Qualifications
Experience with Azure DevOps, GitHub Actions, or similar CI/CD platforms.
Experience with AI observability tools, telemetry platforms, and prompt evaluation frameworks.Experience validating RAG pipelines, vector databases, and AI response accuracy.
Knowledge of healthcare systems, HIPAA compliance, and regulated enterprise environments.
Experience with event-driven architectures, messaging systems, and distributed data platforms (including SQL Server).
Prior experience leading QA teams, mentoring engineers, and implementing enterprise test reporting and quality metrics practices.
Work Environment/Physical Demands
Skills
AutoGenAWSAzureCI/CDCrewAICypressDockerGCPGitJavaJavaScriptJiraK6KubernetesLangGraphPlaywrightPostmanSemantic KernelSQLTypeScript
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