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.
Who You 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.
Here’s what you can expect when you join our team based in the US: 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, WFH and internet stipends, plus many more perks and…