DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world's top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent's platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.
What You'll Do
- Contribute to product quality, reliability, and performance through effective risk-based testing.
- Define test strategies and design manual and automated tests across UI, REST/GraphQL APIs, database, and end-to-end workflows.
- Develop, maintain, and improve test automation frameworks using Python, Playwright, pytest, and Robot Framework.
- Integrate and optimize automated tests within CI/CD pipelines (e.g., Jenkins) to improve coverage and release confidence.
- Validate REST/GraphQL APIs and database data flows with attention to data integrity and business impact; investigate logs, failures, and defects.
- Apply AI-assisted engineering tools to support test design, edge-case discovery, automation development, and debugging, while reviewing generated outputs.
- Where applicable, contribute to test coverage for AI/LLM-enabled features, including response quality, tool interactions, and regression behavior.
- Collaborate with developers, product managers, and DevOps to identify quality risks and continuously improve QA practices.
WhoYou Are
- Bachelor's degree in Computer Science, Information Technology, or a related engineering discipline, or equivalent qualification.
- 1+ years of hands-on experience in SDET or QA automation, including test framework development or maintenance.
- Strong programming and scripting fundamentals; Python is preferred.
- Solid understanding of functional, regression, integration, and end-to-end testing methodologies.
- Hands-on experience with Playwright for UI automation, pytest and/or Robot Framework for test execution, and SQL-based data validation (MySQL preferred).
- Ability to integrate automated tests with CI/CD pipelines, analyze failures, and track test coverage and execution health.
- Strong problem-solving, troubleshooting, debugging, and communication skills; comfortable in an Agile engineering environment.
- Experience working in Linux/Unix environments and a basic understanding of operating systems.
- Understanding of performance testing concepts; exposure to JMeter or similar tools is an advantage.
- Practical familiarity with AI coding assistants (e.g., Cursor, GitHub Copilot, Claude, or similar) for test planning, automation, code review, and failure analysis is a plus.
- Understanding of Generative AI and LLM concepts, prompt engineering, model behaviour, hallucinations, and structured outputs is a plus.
- Exposure to testing AI/LLM applications, including RAG and agentic workflows; familiarity with response quality, grounding, retrieval relevance, and regression evaluation is a plus.
- Awareness of Model Context Protocol (MCP), function/tool calling, and AI evaluation techniques such as golden datasets or LLM-as-judge is a plus.
- Familiarity with LangChain, LangGraph, and AI observability tools and practices (e.g., LangSmith or Langfuse) for tracing and evaluating agent behaviour is a plus.
We believe great work starts with great support. That's why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.
- Competitive base salary plus performance based bonus or commission
- comprehensive medical, dental, and vision insurance
- 401K match program
- flexible PTO policy and paid holidays
- remote friendly culture with flexible work options
- career development and advanced education support,…