Developer - Java & RPA (UiPath/Power Automate/Automation Anywhere)

About the Role:

We are seeking a motivated Developer with a passion for Artificial Intelligence and automation technologies. In this role, you will support the design, development, and maintenance of automation solutions that improve efficiency, reduce manual effort, and enhance business processes. You will work closely with QA directors, Ai automation engineer and developers, implement AI-driven automation workflows.

This is an excellent opportunity for someone early in their career who wants to develop their skills in AI, automation frameworks, and software development while contributing to impactful projects.

Key Responsibilities

• Assist in designing, developing, and deploying automation scripts and AI-driven workflows.
• Collaborate with business teams to analyze processes and identify opportunities for automation.
• Support the integration of AI/ML models into automation pipelines.
• Develop and maintain RPA (Robotic Process Automation) bots using tools such as UiPath, Automation Anywhere, or Power Automate.
• Write and maintain Python/JavaScript scripts for automation tasks and API integrations.
• Test, debug, and document automation solutions.
• Monitor and maintain automation processes to ensure stability and scalability.
• Stay updated with AI and automation trends and suggest improvements.

Required Skills & Qualifications

• 2 years of experience with Java development.
• Familiarity with Python, JavaScript, or similar programming languages.
• Experience using RPA tools (UiPath, Automation Anywhere, Power Automate, or similar).
• Experience with REST APIs and data integration.
• Good working knowledge of AI concepts (machine learning, NLP, generative AI).
• Bachelors degree in computer science, Engineering, Information Technology, or related field (or equivalent experience).
• Strong problem-solving skills and eagerness to learn.
• Good communication and teamwork abilities.

Nice-to-Have (Preferred)

• Internship or project experience in automation or AI applications.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/automation services.
• Exposure to version control systems (Git, GitHub Copilot, GitLab).
• Understanding of workflow orchestration tools (Airflow, Prefect, etc.).
• Knowledge of SQL/NoSQL databases.