Quality Assurance Engineer
SoTalent
full-remotemidpermanentqabackend United States Yesterday via LinkedIn
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Quality AssurancePythonJavaScriptGoJavaSQLBackend DevelopmentAI AgentsPrompt InjectionAPI Integration
About the role
Role Overview
Quality Assurance Engineer for a remote, full-time position in the United States. You will help develop, evaluate, and refine AI-driven systems where large language models operate as intelligent, multi-step agents delivering structured, actionable outcomes.
Responsibilities
- Develop, test, and improve AI agent workflows in real-world scenarios involving multi-stage and iterative interactions.
- Evaluate complex system behaviors with strong analytical rigor and attention to detail.
- Ensure production-quality software design with clearly separated components (e.g., data ingestion, processing logic, and output/reporting).
- Work on systems operating in live environments and manage persistent states across sessions.
- Identify and help mitigate subtle vulnerabilities (e.g., data privacy risks, unauthorized access escalation, and prompt injection).
Requirements
- Minimum 2 years of experience in backend development, AI automation, or systems integration.
- Strong backend engineering background and ability to build production-quality software with separated components.
- Proficiency in at least two programming languages such as Python, JavaScript, Go, or Java.
- Hands-on experience working with SQL databases.
- Experience building systems in live environments with multi-step or iterative interactions.
Preferred Skills
- Experience designing multi-stage workflows where data collection feeds structured reasoning and decision-making.
- Familiarity with integrating AI agents with external tools/platforms (e.g., APIs, databases, productivity tools like Supabase or Gmail).
- Comfort with persistent system states and tracking progress across sessions.
- Ability to spot and mitigate security risks including privacy and prompt injection issues.
About SoTalent
SoTalent is a talent and recruiting firm connecting candidates with companies building advanced technologies. This role is with a client focused on enhancing AI agents using human feedback and real-world system design, including training large language models to plan, coordinate, and execute complex workflows.
Scraped 5/16/2026