GenAI Quality Engineer - UI/API & Agentic Testing

encora technologies pte. ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Encora Technologies Pte. Ltd. is seeking an experienced Senior QA Engineer to lead end-to-end testing across UI, APIs and agentic components in a rapidly evolving GenAI environment.

You will craft test strategies, validate distributed systems, automate key tests and coordinate with product, architecture, security and data teams to ensure quality and release readiness. This role requires 5–8 years of hands-on testing experience, strong API tooling skills, and the ability to operate in a

Qualifications

• 5 to 8 years of experience in software quality engineering.
• Strong experience testing web UIs, backend services and REST APIs.
• Hands on with API tools and automation frameworks such as Postman, REST Assured, pytest, Playwright, Cypress, Selenium.
• Working knowledge of Java, Python, JavaScript or TypeScript sufficient to build, review and troubleshoot test automation.
• Strong test analysis skills, including requirements review, risk assessment, boundary analysis, negative testing and traceability.
• Experience validating distributed systems and integrations, including asynchronous processing, queues, batch jobs and downstream dependencies.
• Ability to inspect logs, traces, network calls, payloads and database records to identify the actual failure point.
• Experience with Git, pull requests, CI/CD pipelines, test reporting and defect management tools.
• Understanding of security and privacy testing fundamentals, including access control, sensitive data handling, input validation and auditability.
• Strong stakeholder communication and the confidence to challenge weak designs, vague expected outcomes and premature release decisions.
• Ability to work in a fast moving environment where requirements and GenAI behaviour evolve.

Responsibilities

• Define and execute end to end test strategies covering UI workflows, backend APIs, integrations and agentic interfaces.
• Test conversational and agentic behaviour including multi turn context, tool selection, tool inputs and outputs, state transitions, retries, timeouts, handoffs, approvals and recovery from partial failure.
• Validate GenAI responses for task completion, grounding, relevance, consistency, citation behaviour and safe failure, while recognising that outputs can be non deterministic.
• Perform functional, integration, regression, exploratory, negative, resilience and basic performance testing across application layers.
• Design API tests for contracts, authentication, authorisation, validation, error handling, idempotency, rate limits and downstream failures.
• Test UI behaviour across browsers and realistic user journeys, including loading states, interrupted sessions, feedback capture, accessibility basics and clear error communication.
• Create and maintain test data, reusable test scenarios and traceable evidence suitable for enterprise release governance.
• Use logs, traces, request and response payloads and observability tools to isolate defects and distinguish application, model, data, integration and platform issues.
• Automate the tests that materially reduce cycle time, manual effort or production risk, and keep unstable or low value scenarios out of the automation suite.
• Communicate defects and quality risks clearly to engineers, product owners, GenAI specialists, security teams and business stakeholders.
• Provide an evidence based release recommendation, including known limitations, residual risks and areas requiring monitoring.
• Partner with product owners, business users, architects, engineers and GenAI specialists to define the problem, target user journeys and expected business outcomes.
• Analyse proposed GenAI use cases and determine where deterministic application logic, retrieval, workflow orchestration, tool using agents or human approval should be used.
• Translate business requirements into end to end solution flows, functional requirements, interface behaviours, decision rules, acceptance criteria and non functional requirements.
• Map interactions across user interfaces, APIs, models, prompts, retrieval components, enterprise data sources, agent tools and downstream systems.
• Analyse solution options and document tradeoffs relating to quality, complexity, cost, latency, security, data access, maintainability and operational risk.
• Identify unclear ownership, missing controls, integration assumptions, failure scenarios and operational gaps before development begins.
• Support the design of human approval, fallback, escalation and exception handling paths for agentic solutions.
• Define measurable success criteria covering business outcomes, user experience, functional correctness, response quality, latency, reliability and safe failure.
• Maintain traceability from business need through solution requirement, implementation, evaluation scenario and release evidence.
• Facilitate structured design reviews and communicate findings using process flows, sequence diagrams, interface specifications, decision tables and concise solution documentation.

Skills

Web UI testing

API testing

API automation

Java/Python/JS

Test analysis

Distributed systems

Git & CI/CD

Security testing

GenAI testing

Stakeholder communication

Fast-moving environment

Tools

Postman

REST Assured

pytest

Playwright

Cypress

Selenium

Job description

Encora Technologies Pte. Ltd. is seeking an experienced Senior QA Engineer to lead end-to-end testing across UI, APIs and agentic components in a rapidly evolving GenAI environment.

You will craft test strategies, validate distributed systems, automate key tests and coordinate with product, architecture, security and data teams to ensure quality and release readiness. This role requires 5–8 years of hands-on testing experience, strong API tooling skills, and the ability to operate in a