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IBM

Application Developer-RPA

IBM

Published 10 Apr 2026
Bangalore, India
Full Time
Freelancer

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Role Highlights

Languages used

Key skills

NLP
Generative AI
Sentiment Analysis
Integrations
Cloud
Automation
Chatbot
OCR
SDLC
LLMs

Tools, Libraries and Frameworks

IOS
Red Hat
IBM

Description

The role involves converting business and IT process definitions into automated solutions to improve service delivery. The developer collaborates with stakeholders to understand requirements and build scalable automation systems. Responsibilities include designing and implementing automated workflows while integrating various tools with existing systems. The position requires managing the delivery of solutions in accordance with established development methodologies. Additionally, the role includes onboarding and training team members on the operational aspects of automation platforms.

Required Qualifications and Skills

The role requires expertise in various RPA tools including Blue Prism, Automation Anywhere, UiPath, Powerautomate, and IBM RPA. Candidates must possess programming and tool configuration skills to ensure system integration and operational efficiency. Proficiency in SDLC methodologies and experience with features such as NLP, OCR, and document processing are necessary. Familiarity with the IDCP and IBM Consulting Advantage platform is also required for this position.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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