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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Test Engineering Analyst - **Company:** AI Powered LLC - **Location:** Washington, DC, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Testing (Software), Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Databases, Continuous Integration, Expert Systems, Python (Programming Language), Machine Learning, Oracle Databases, Tensorflow, Salesforce.Com, Selenium, SQL Databases, Cloudbees, Freeform SQL, Cloud Platform System, Large Language Models, Snowflake, Backend, Pandas, Containerization, Playwright, Machine Learning Operations, Front End Software Development, Code Restructuring, Api Management, Software Library, Jenkins, Databricks, Microservices - **Published:** September 4, 2026 - **Apply:** https://www.elitetechnicaljobs.com/apply/?jobid=12701 ## About the Role Bachelor's degree in Computer Science, IT, or related field is preferred - 3+ years of experience in software testing and test automation, leveraging Selenium Java / BDD Framework - Proven experience with AI tools for test generation, refactoring, and self-healing - Experience building and scaling testing agents - Knowledge of context engineering for AI-driven testing - Experience with modern testing frameworks beyond Selenium - Background in machine learning or AI applications - Experience with microservices and containerized applications Required Technical Skills - Databases: Snowflake and Databricks - Programming Languages: Python, Java/Selenium, SQL - AI/ML Frameworks: LangChain, Pandas, and other popular Machine Learning libraries - Test Automation: Selenium, Playwright, API testing frameworks - Clouds: Any Cloud platform will suffice, AWS preferred (Bedrock, Sagemaker) - CI/CD: CloudBees or Jenkins Soft Skills - Strong analytical and problem-solving abilities - Excellent communication and collaboration skills - Adaptability to rapidly evolving AI and automation technologies - Strategic thinking with focus on testing efficiency and coverage - Self-motivated with ability to work independently Apply Now ## Description Conduct deep technical analysis and testing of AI/ML and Generative AI systems, including validation and verification of model outputs, prompt behavior, and end-to-end application workflows. - Participate in Business Requirements reviews and collaborate with systems analysts and developers to fully test application changes, including AI/ML model integrations and Gen AI features. - Understand functional specifications and scope of releases to design robust testing harnesses that ensure quality delivery of AI-powered applications. - Write complex SQL queries for retrieval of data from multi-database environments, including querying ML feature stores and model metadata. (Strong knowledge of Oracle database required). - Apply expert systems analysis and design techniques to complex enterprise systems, with a focus on validating Gen AI outputs, LLM responses, and ML model predictions. - Maintain broad knowledge of data sources/flow, interactions of complex systems, and the capabilities and limitations of AI/ML systems, including model drift, hallucination detection, and bias evaluation. - Work closely with Product Owners, developers, Data Scientists, and stakeholders to understand AI/ML product specifics and create corresponding test strategies, including evaluation frameworks for generative outputs. - Execute manual and exploratory testing on frontend (UI) and backend (API) systems, including AI/ML inference endpoints and Gen AI prompt pipelines. - Develop and maintain testing suites for a large-scale Salesforce environment integrated with AI/ML capabilities such as Salesforce Einstein and external LLM services. Responsible for front-end and back-end testing for applications built on the Salesforce platform, including AI-driven features and automated decision systems. ## Related Videos - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Back to the Roots: Testing in the Age of AI](https://www.wearedevelopers.com/videos/100021-back-to-the-roots-testing-in-the-age-of-ai) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)