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Job Title: QA Engineer – Manual & Automation Testing

We are looking for a detail-oriented QA Engineer (Manual & Automation) to join a

fast-paced product team. In this role, you will be responsible for ensuring the quality,

reliability, and performance of a modern SaaS platform through structured

manual and automation testing. You will work closely with developers, product managers,

and stakeholders to deliver high-quality software releases on time.

What You’ll Be Doing

● Design, review, and execute detailed manual and automated test cases for web-based applications

● Perform functional, regression, smoke, sanity, and end-to-end testing across multiple modules

● Identify, log, and track defects clearly, ensuring proper follow-up and closure

● Validate bug fixes and feature enhancements before production releases

● Collaborate closely with developers to understand requirements and resolve issues efficiently

● Participate in requirement and design reviews to provide early QA feedback

● Maintain and update test cases, test scenarios, and automation scripts based on product changes

● Contribute to the continuous improvement of QA processes, test coverage, and release quality

We are building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:

✅ Real-time self-coding based on tasks  

✅ Autonomous multi-agent collaboration  

✅ AI-powered decision-making  

✅ Cross-platform compatibility (Desktop, Web, Mobile)  

We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.

### Responsibilities:

- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)  

- Integrate large language models (GPT-4o, Claude, open-source LLMs)  

- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)  

- Work on real-time task execution pipelines  

- Build cross-platform apps using Electron or Flutter  

- Implement Redis, Vector databases, scalable APIs  

- Guide the architecture of autonomous, self-coding AI systems  

### Must-Have Skills:

- Python (advanced, AI applications)  

- AI/ML experience, including multi-agent orchestration  

- LLM integration knowledge  

- Full-stack development: React or Next.js  

- Redis, Vector Databases (e.g., Pinecone, FAISS)  

- Real-time applications (websockets, event-driven)  

- Cloud deployment (AWS, GCP)  

### Good to Have:

- Experience with code-generation AI models (Codex, GPT-4o coding abilities)  

- Microservices and secure system design  

- Knowledge of AI for workflow automation and productivity tools  

Join us to work on cutting-edge AI technology that builds the future of autonomous software.