Key Facts

Remote From:

Full time

English

Hard Skills

Agent-Based Model Playwright (Software Testing) Python (Programming Language) Generative Artificial Intelligence Prompt Engineering Data Integration Data Synthesis GPT-3 (NLP Model) Automated Testing Framework Multi-Agent Systems CI/CD Version Control Repository Design Git (Version Control System) Application Programming Interface (API) Automated Testing Framework

Other Skills

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Mentorship
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Knowledge Transfer

Roles & Responsibilities

Experience architecting and implementing AI-powered test frameworks using Python and Playwright
Expertise designing multi-agent automation systems with Model Context Protocol (MCP) and integrating LLMs (e.g., Claude, GPT) to internal repositories, databases, and CI/CD tools
Proficiency building automated testing suites that leverage AI to detect schema or UI changes and adapt test logic automatically
Experience integrating AI-driven workflows into CI/CD pipelines (GitLab/GitHub Actions) and mentoring junior engineers in AI testing techniques and prompt engineering

Requirements:

Architect and implement AI-powered test frameworks using Python/Playwright with self-healing locators and autonomous perception of app state changes
Design and validate multi-agent automation systems using MCP servers to connect LLMs to internal repositories, databases, and CI/CD tools; implement LLM-based agents to generate Playwright scripts from user stories
Build and maintain automated testing suites that use AI to identify schema or UI changes and dynamically update test logic without manual intervention; develop generative data agents for production-like synthetic data at scale
Integrate agentic workflows into CI/CD pipelines (GitLab/GitHub Actions) and mentor junior engineers on AI test techniques and prompt engineering

Job description

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions—creating seamless engagement across digital, remote, and in-person channels.

Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth—turning every customer interaction into a moment of clarity, confidence, and connection.

Architect and implement AI-powered test frameworks using Python/Playwright, focusing on self-healing locators and autonomous perception of app state changes.
Design and validate multi-agent automation systems using Model Context Protocol (MCP) servers to connect LLMs (e.g., Claude, GPT) to internal repositories, databases, and CI/CD tools.
Implement LLM-based agents to automatically generate Playwright automation scripts from user stories and requirements.
Build and maintain automated testing suites that leverage AI to identify schema or UI changes and dynamically update test logic without manual intervention.
Develop generative data agents to produce production-like synthetic data for edge-case validation at scale.
Integrate agentic workflows into CI/CD pipelines (GitLab/GitHub Actions)
Mentor junior engineers on AI test techniques, prompt engineering for QA, and best practices in agentic automation.

Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.

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