Lead Software Engineer in Test – Agentic AI (Remote - US)

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:

• Design, develop, and maintain scalable automation frameworks and regression test suites across UI, API, backend, and AI-driven applications.
• Lead quality engineering initiatives for Agentic AI systems, including LLM workflows, RAG pipelines, autonomous agents, and distributed orchestration platforms.
• Validate complex AI agent behaviors such as multi-agent coordination, tool calling, prompt chaining, memory retention, conversational workflows, and fallback/retry mechanisms.
• Develop and execute functional, integration, regression, end-to-end, and performance testing strategies across cloud-native and distributed environments.
• Collaborate with Software Engineers, Product Managers, and DevOps teams to integrate testing throughout the software development lifecycle.
• Build reusable automation solutions to validate APIs, orchestration layers, asynchronous workflows, enterprise integrations, and AI-driven business processes.
• Design and maintain robust test environments, CI/CD integrations, cloud execution platforms, and automation pipelines to improve efficiency and reliability.
• Establish and drive best practices related to code quality, maintainability, scalability, dependency injection, observability, and testability.
• Lead validation efforts for AI workflow resiliency, distributed system reliability, data consistency, and orchestration performance under failure and edge-case conditions.
• Mentor QA engineers and contribute to the development of scalable QA standards, automation strategies, reporting practices, and continuous improvement initiatives.
• 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.