Description
We are seeking a Quality Assurance Engineer to validate AI agentic applications across development and production.
The position combines specialized AI testing, automation, safety evaluation, and continuous quality measurement.
The engineer is responsible for designing, building, and executing the test strategy for LLM accuracy, RAG ingestion and attribution, agent planning and tool use, recovery behavior, and production failure patterns.
Responsibilities
- Design, execute, and maintain test strategies and automation frameworks for AI-powered agentic workflows
- Develop and implement specialized testing approaches for LLM-powered applications, validating response accuracy, relevance, and grounding, while identifying hallucinations and edge-case behaviors
- Test and evaluate the behavior of autonomous and semi-autonomous AI agents, ensuring proper planning, tool selection/sequencing, agent-to-agent interactions, and graceful error/timeout recovery
- Validate Retrieval-Augmented Generation (RAG) performance, including document ingestion, chunking, metadata quality, embedding accuracy, and citation/source attribution
- Perform AI safety and security testing to identify vulnerabilities such as prompt injection (direct/indirect), data leakage, unauthorized tool execution, and privilege escalation
- Establish quantitative AI evaluation metrics and quality gates (e.g., classification accuracy, groundedness, hallucination rate, tool-selection accuracy, and cost/latency) to measure performance across releases
- Build and maintain automated test suites (covering APIs, UI, integration, RAG, and agent trajectories) to progressively transition the testing suite toward automated continuous evaluation
- Analyze production AI interactions and failed agent journeys to identify recurring failure patterns, create regression tests from production incidents, and ensure decision auditability
Benefits
- Best-in-class leave policy
- Gender-neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender-neutral)
- Sponsorship for industry-relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term Life Insurance
- Complimentary health screening for 35-year-olds and above
Requirements
- Bachelor's degree or above in Computer Science, Engineering, Information Technology, or a related discipline
- 5+ years of experience in software quality assurance and testing, with strong knowledge of test planning, functional, integration, regression, and end-to-end testing
- 1-2 years of hands-on experience specifically testing GenAI, LLM, or Agentic AI applications
- Strong experience with test automation and building automation frameworks and test utilities (rather than relying solely on manual tools)
- Strong programming ability in at least one language: Java/Kotlin or Python
- Strong understanding of generative AI technologies, including LLMs, prompt engineering, RAG, embeddings, vector databases, AI agents/agentic workflows, and tool/function calling