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SDET

Skills

agentic aiaiautomationgenerative aitest automation

Description

SDET

Remote

Long term contract

  • Lead Software Development Engineer in Test (SDET) with 8+ years ofexperience to spearhead quality engineering across our clinical applications and AI-driven platforms.

  • In this role, you will architect enterprise-grade test automation frameworks, pioneer validation strategies for generative AI and agentic systems, and ensure zero-defect reliability across mission-critical healthcare workflows.

Key Responsibilities

AI & Agentic Framework Validation: Design evaluation frameworks to test Retrieval-Augmented Generation (RAG) pipelines, semantic retrieval, hallucination metrics, and multi-agent workflow orchestration.

Framework Architecture: Architect scalable, maintainable UI and API test automation frameworks from scratch using Python (e.g., PyTest, Playwright, Selenium, Requests).

Healthcare Workflow Validation: Lead end-to-end testing of complex clinical and administrative workflows (e.g., EHR/EMR integrations, patient scheduling, claims routing) ensuring strict compliance with HIPAA standards.

API & UI Quality: Build automated testing suites for high-throughput RESTful/GraphQL APIs, schema contracts, microservices, and web interfaces.

Regression & CI/CD Strategy: Drive automated regression strategies integrated into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) to ensure release velocity and reliability.

Technical Leadership: Mentor QA/automation engineers, review automation code, and champion shift-left quality practices with cross-functional teams. Requirements

Experience: 8+ years in automated software testing, framework design, and quality engineering.

Programming: Expert-level proficiency in Python for test framework design, tools, and scripting.

AI & LLM Systems: Hands-on experience or deep knowledge testing RAG architectures and Agentic frameworks (e.g., Lang Chain, Lang Graph, CrewAI, Llama Index).

Testing Mastery: Proven track record in comprehensive API testing, UI testing, and distributed regression test suites.

Domain Expertise: Solid background validating healthcare workflows, data exchange standards (HL7, FHIR), and regulatory requirements.

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