Quality Assurance Engineer
Core
Build and maintain automated test suites for a unified Decision Intelligence Platform combining graph data stores, graph analytics, machine learning models, and agentic AI workflows.
Role type
Senior QA Automation Engineer (AI/ML & Graph Systems)
Builds
Automated testing harnesses, CI/CD quality gates, and validation pipelines for probabilistic AI systems and graph databases.
Domain
Enterprise Decision Intelligence, AI/ML, Graph Analytics
Deliverable
production ML models
Required skills
Python, Playwright/Selenium, API/Contract testing, Graph databases (Neo4j/Neptune), CI/CD pipelines, SQL, Unix shell scripting
Preferred skills
Agentic frameworks (LangChain/LangGraph), LLM evaluation tooling, Docker/Kubernetes, Cloud APIs (AWS/Azure/GCP), Observability-driven testing
Technologies
Python, Playwright, Selenium, Neo4j, Amazon Neptune, Jenkins, GitHub Actions, LangChain, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and automate validation for graph database layers and analytics outputs; Develop evaluation harnesses for ML model behavior including drift detection and bias checks; Build automated test suites for agentic workflows and non-deterministic outputs; Embed quality gates directly in CI/CD pipelines; Provision ephemeral, containerized test environments on demand.
Seniority
Senior, hands-on IC