We’re on the lookout for a QA Engineer with strong experience in frontier technologies and/or language models.As a QA Engineer at Acme AI, you'll support engineering quality of team outputs across LLM-integrated backend systems and MERN-based frontend applications - translating to the ownership of automated testing processes, release readiness, and QA strategy for a cloud-native, microservice-driven Retrieval Augmented Generation (RAG) platform.

KEY RESPONSIBILITIES

General responsibilities include:

· Design and implement automated test suites for Python (FastAPI) and Node.js (Express) services

· Build frontend test cases for React.js and Next.js interfaces using Jest, Cypress, or Playwright

· Validate LLM-integrated workflows (RAG, NL2SQL)through mock inputs, edge cases, and response assertions

· Conduct static analysis, unit tests, and integration tests across backend and frontend modules

· Review pull requests for test completeness, error handling, and engineering hygiene

· Enforce API contract validation across Node–Python microservices

· Own CI/CD test pipelines for AWS ECS, Amplify, and Lambda deployments

· Maintain regression testing workflows and release checklists

· Support performance testing, security validation, and cost-aware LLM call monitoring

· Document test plans, QA strategy, and release protocols

· Collaborate development-centric engineering teams to align QA coverage with evolving features

· Participate in sprint planning, provide QA estimates, and advocate for continuous improvement

EXPERIENCE + QUALIFICATION

· 3+ years in QA engineering with coding experience in Python and JavaScript

· Hands-on with automated testing frameworks: Pytest, Jest, Cypress, Playwright

· Familiarity with CI/CD tools, Git workflows, and cloud-native environments (AWS ECS, Amplify)

· Experience validating REST APIs, microservices, and LLM-integrated pipelines

· Detail-oriented, proactive, and passionate about clean, testable code

NICE TO HAVE

· Experience testing LLM-based applications (RAG, NL2SQL, LangChain workflows)

· Exposure to event-driven systems (SNS/SQS), multi-tenant architectures, or GraphQL APIs

· Familiarity with Postman/Swagger, Docker, and monitoring tools (CloudWatch, Datadog)

WORK DETAILS

This is a full-time position, where you’ll be working in a supportive, fast-paced environment with access to learning and development opportunities.

· Type: Full-time, onsite with some remote flexibility

· Schedule: Standard 8 hours, five-days engagement under contract

· Location: Acme AI Ltd, Level 5, House 385, Road 6, Mirpur DOHS, Dhaka 1216

· Salary: BDT 60,000-75,000 based on experience

BENEFITS

· Competitive salary based on experience

· Festival bonuses

· Access to company health fund (upon eligibility; since health and hospitalisation insurance sucks!)

· Quarterly profit-sharing (upon eligibility)

How to apply? Please lodge your applications by filling out this Google form .

https://docs.google.com/forms/d/e/1FAIpQLSf5KkHiDCASvBTpdXRtzh3xM8WZuZEp7VA9l8NIFRGCCO54Zw/viewform?pli=1