Quality Assurance Automation Engineer

MOURI Tech; Hyderabad; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Mouri Tech LLC in Hyderabad is seeking an experienced Applied AI Automation Engineer with 8+ years of hands‑on Python development, Robot Framework, and intelligent automation. You will design, develop, and implement next‑generation automation frameworks that blend software engineering with AI capabilities.

The role requires building scalable AI‑driven automation solutions, integrating API and UI testing, CI/CD pipelines, and enterprise systems.

Qualifications

• 8+ years of software engineering, test automation, or automation development.
• Strong Python programming and Robot Framework expertise.
• Experience integrating Python with Robot Framework in real projects.
• Solid OO programming, data structures, debugging, and design principles.
• Experience building reusable automation frameworks.
• Hands-on API automation and REST/JSON testing.
• Exposure to Generative AI, LLMs, and prompt engineering.
• Git, CI/CD tools, automated test reporting, and pipeline integration.
• SQL databases and test data management.
• Strong analytical and communication skills.

Responsibilities

• Design, develop, and implement scalable automation frameworks.
• Integrate Python automation with Robot Framework and AI features.
• Develop reusable libraries and AI-powered automation components.
• Implement API and UI testing within CI/CD pipelines.
• Collaborate with enterprise systems and test management tools.
• Translate complex requirements into reliable automation solutions.

Skills

Python programming

Robot Framework

Applied AI / Generative AI

Test automation

AI/LLM integration

REST APIs

CI/CD

SQL databases

Git

Troubleshooting

Tools

Git

Docker

Kubernetes

Jenkins

LangChain

LLM APIs

API testing

Job description

Job Description: Applied AI Automation Engineer

Experience: 8+ Years

Required Technical Skills: Python, Robot Framework, Applied AI/Generative AI, Test Automation

Employment Type: Full-Time

Mode of work: Hybrid

Job Summary

We are seeking an experienced Applied AI Automation Engineer with 8+ years of hands-on experience in Python development, Robot Framework, and intelligent automation solutions. The ideal candidate will combine strong software engineering and test automation expertise with practical knowledge of Artificial Intelligence (AI), Generative AI, and Large Language Models (LLMs) to design, develop, and implement next-generation automation frameworks.

The candidate will be responsible for building scalable, reusable, and intelligent automation solutions that integrate Python-based automation frameworks with Robot Framework and AI-powered capabilities. This role requires a strong understanding of automation architecture, API and UI testing, AI/LLM integration, CI/CD pipelines, and enterprise application ecosystems.

The ideal candidate should be comfortable translating complex business and technical requirements into reliable, maintainable, and AI-driven automation solutions.

Required Skills and Qualifications

• 8+ years of overall experience in software engineering, test automation, quality engineering, or automation development.
• Strong hands-on expertise in Python programming and Robot Framework, with demonstrated experience combining both technologies in real-world projects.
• Proven experience developing custom Python libraries and integrating them with Robot Framework.
• Strong understanding of object-oriented programming, data structures, exception handling, debugging, and software design principles.
• Experience developing and maintaining reusable automation frameworks.
• Hands‑on experience with API automation, REST services, JSON, HTTP protocols, and authentication mechanisms.
• Practical exposure to Generative AI, LLM APIs, prompt engineering, or AI‑assisted automation.
• Experience with Git, CI/CD tools, automated test reporting, and build pipeline integration.
• Good understanding of SQL databases, test data management, and system integration.
• Strong analytical, troubleshooting, communication, and problem‑solving skills.

Preferred Skills

• Experience with AI frameworks and libraries such as LangChain, LlamaIndex, or comparable tools.
• Exposure to AI agents, tool calling, Retrieval‑Augmented Generation (RAG), and workflow orchestration.
• Experience with commercial or open‑source LLMs and embedding models.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Docker, Kubernetes, and distributed automation execution.
• Knowledge of observability, structured logging, monitoring, and automation analytics.
• Experience integrating AI capabilities with enterprise systems, ticketing platforms, or test management tools.
• Familiarity with security practices for AI applications, including prompt injection mitigation and sensitive data protection.