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 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:

Bachelors 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 setting.

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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Software Engineer (Karnataka)
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