AI Lead Engineer

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Location: Sunnyvale, CA (hybrid)

Requirements

• Strong understanding of applying GenAI, LLMs and agents AI to software quality engineering and test lifecycle automation.
• Ability to design and generate test scenarios, test cases, and test data from requirements, user stories, specifications, API contracts and technical documentation.
• Experience building solutions that analyze requirements for functional gaps, ambiguity, traceability, risk and test coverage.
• Hands-on experience designing multi-agent workflows for requirement analysis, test generation, defect analysis, validation and quality intelligence.
• Capability to develop AI-assisted mechanisms for defect identification, classification, deduplication, severity assessment, root-cause analysis and automated defect filing.
• Experience in developing AI/LLM-based validation for multilingual and localized content, including translation accuracy, formatting, context, truncation, and content consistency.
• Strong understanding of accessibility standards such as WCAG2.2 with the ability to build AI-assisted automated checks for accessibility violations across web experiences.
• Strong experience with automation frameworks, API/UI testing, CI/CD integration, test orchestration, and reporting.
• Experience with embeddings, vector databases, RAG, knowledge bases, structured/unstructured data processing, and enterprise content integration.
• Ability to define the AI-QE solution architecture, technical roadmap, reusable accelerators, engineering standards, and measurable business outcomes.
• Strong hands-on expertise in Python and Java/Typescript with experience integrating LLM and AI services through APIs.
• Ability to lead technical discussions with QE, engineering, product, and client stakeholders and translate business problems into scalable AI solutions.

Technology Exposure

• LLMs, RAG, Agentic AI, Prompt Engineering, Multimodal AI, AI Evaluation
• Python, Java/TypeScript
• Playwright, REST API automation, CI/CD
• WCAG 2.1/2.2
• Embedding, Vector DB, Document Parsing