Senior Software Engineer

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Robotics • Analytics • Energy
The Role
Design, develop, and support enterprise-grade AI-enabled Copilot applications and cloud-native services using Python, .NET, Angular and Azure. Build APIs, frontend components, microservices, and AI workflows (RAG, conversational AI, LLM integrations). Participate in design, testing, CI/CD, production support, Agile ceremonies, and cross-team collaboration.
Summary Generated by Built In

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:

Digital Solution Engineering Manager
 
What we believe in

ABB’s Process Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner.

We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.

Your role and responsibilities

In this role, we are looking for a Software Engineer – AI Applications & Copilot Platforms to join our Industrial Automation Digital Organization. The role requires software professionals with strong expertise in developing enterprise-grade AI-enabled applications, cloud-native services, and intelligent automation solutions. The candidate will be responsible for designing, developing, and supporting scalable Copilot applications and AI-powered platforms using Python, .NET, Angular, and Microsoft Azure technologies, while contributing to engineering excellence through modern software development practices and Agile delivery methodologies.

The work model for the role is: Hybrid

This role is contributing to the Digital Industry Analytics / Research & Development function in India. Main stakeholders include Technical Leads, Solution Architects, AI/ML Engineers, Product Management teams, DevOps teams, Quality Engineering teams, and Platform Engineering teams.

You will be mainly accountable for:

• Develop and enhance enterprise Copilot applications, AI services, and cloud-native engineering modules using Python, .NET, Angular, and Azure technologies.

• Build backend APIs, frontend components, integrations, and scalable microservices for AI-driven applications and intelligent automation solutions.

• Implement AI workflows involving document search, conversational AI, prompt orchestration, Retrieval-Augmented Generation (RAG)-based retrieval, and orchestration services.

• Develop integrations with APIs, databases, cloud services, and AI platform components to deliver scalable and secure enterprise solutions.

• Participate actively in technical design discussions and contribute to module-level High-Level Design (HLD) and Low-Level Design (LLD) activities.

• Ensure adherence to coding standards, cybersecurity requirements, engineering quality practices, and established testing methodologies.

• Support debugging, defect resolution, performance optimization, and production support activities to ensure application reliability and operational stability.

• Develop unit tests, integration tests, and contribute to test automation initiatives and CI/CD implementation activities.

• Create and maintain technical documentation including API specifications, feature documentation, deployment guides, and operational support procedures.

• Collaborate effectively with Technical Leads, Architects, Quality Engineering teams, DevOps teams, and Product Management teams to support successful sprint execution and release delivery.

• Work collaboratively with cross-functional engineering teams operating within Agile and Scrum environments.

• Participate actively in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, backlog refinement sessions, and retrospectives.

• Support troubleshooting activities and contribute to technical problem-solving discussions to resolve engineering challenges and improve product quality.

• Share technical knowledge and contribute to engineering best practices, reusable frameworks, and common engineering components.

• Take ownership of assigned development activities and ensure timely delivery of high-quality software deliverables.

• Follow Agile software engineering methodologies and sprint delivery practices to support efficient and predictable software development.

• Participate in continuous improvement initiatives focused on enhancing engineering quality, operational efficiency, and delivery excellence.

• Adhere to established coding guidelines, release management processes, testing standards, and CI/CD practices throughout the software development lifecycle.

• Collaborate with peers, Technical Leads, and stakeholders to proactively identify, communicate, and mitigate delivery risks, dependencies, and blockers.

Qualifications for the role:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline.

• 2+ years of experience in software engineering and enterprise application development.

• Strong programming skills in Python, .NET/C#, REST API development, SQL, and frontend technologies such as Angular.

• Proven experience developing web applications, backend services, APIs, and enterprise software solutions.

• Good understanding of cloud-native application architectures, microservices design patterns, and distributed systems concepts.

• Exposure to Microsoft Azure cloud services, Kubernetes, Docker, and CI/CD pipelines is preferred.

• Familiarity with AI-enabled applications, enterprise Copilot solutions, Large Language Model (LLM) integrations, or AI-driven workflows is considered an added advantage.

• Strong understanding of software engineering fundamentals including debugging, testing methodologies, performance optimization, and application lifecycle management.

• Knowledge of Agile development methodologies and experience working in cross-functional engineering teams.

• Excellent analytical thinking, troubleshooting, communication, and collaboration skills with the ability to work effectively in a team-oriented environment.

• Demonstrated willingness to learn emerging technologies related to enterprise AI, cloud-native engineering, intelligent automation, and scalable platform development.

More about us

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures.

Through its five divisions, ABB serves customers across energy, process, and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. Process Automation stands at the heart of some of the most important shifts in society, helping energy-intensive industries operate more safely, intelligently, and sustainably to enable a prosperous, low-carbon future.

ABB India is committed to diversity and inclusion and provides equal employment opportunities to all qualified applicants. Employment may be subject to applicable background checks and pre-employment screening as per company policy.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.

Recruitment Fraud Warning

ABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process.

View current job openings and apply at: https://careers.abb/global/en/home

For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning

Skills Required

  • Bachelor's degree in Computer Science, Engineering, IT, or related technical discipline
  • 2+ years of experience in software engineering and enterprise application development
  • Strong programming skills in Python, .NET/C#, REST API development, and SQL
  • Experience with frontend technologies such as Angular
  • Proven experience developing web applications, backend services, APIs, and enterprise software solutions
  • Good understanding of cloud-native application architectures, microservices design patterns, and distributed systems concepts
  • Exposure to Microsoft Azure cloud services, Kubernetes, Docker, and CI/CD pipelines
  • Familiarity with AI-enabled applications, enterprise Copilot solutions, LLM integrations, or AI-driven workflows
  • Strong understanding of software engineering fundamentals including debugging, testing methodologies, performance optimization, and application lifecycle management
  • Knowledge of Agile development methodologies and experience working in cross-functional engineering teams
  • Excellent analytical thinking, troubleshooting, communication, and collaboration skills
  • Willingness to learn emerging technologies related to enterprise AI and cloud-native engineering

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

ABB Insights

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The Company
Bengaluru, Karnataka
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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