Senior Software Engineer - AI Platform & Cloud Services

AVEVA; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Gratuity

Medical insurance

Childcare support

Job summary

AVEVA is seeking a Senior Software Engineer to join its Core AI Services team in Bangalore. In this role, you will design, develop, and scale AI-enabling platform services and public APIs. Ideal candidates should have extensive experience in software engineering, particularly in cloud-native service development, and expertise in RESTful API design. The position offers a hybrid work model and comprehensive benefits including medical insurance and flexible leave options.

Qualifications

• Extensive experience in software engineering, preferably in platform or cloud-native service development.
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
• Proficient in securing APIs, managing authentication/authorization and data privacy practices.

Responsibilities

• Work with multiple teams to create AI solutions, including deployment and development.
• Build scalable, fault-tolerant cloud-native services on Microsoft Azure.
• Develop secure public APIs and SDKs for developers.

Skills

Software engineering

Cloud-native service development

RESTful API design

Security practices

Kubernetes

Agile methodologies

Education

Degree in Computer Science or related field

Tools

Microsoft Azure

PaaS

Docker

Job description

Senior Software Engineer - AI Platform & Cloud Services

Location: Bangalore

Employment Type: Regular, Full-Time

Reports To: R&D Senior Manager

We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. In this role, you will help design, develop, and scale AI‑enabling platform services and public APIs that are secure, reliable, and cloud‑native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem.

If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you.

You will be part of a Scrum team to build innovative, standards‑compliant, secure and production‑grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with the agility of a start‑up.

Key responsibilities

• Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
• Build scalable, fault‑tolerant cloud‑native services on Microsoft Azure, ensuring high performance and reliability.
• Develop secure, well‑documented public APIs and SDKs for consumption by internal and external developers.
• Collaborate with cross‑functional teams to deliver end‑to‑end solutions across data pipelines, orchestration, and service APIs.
• Embed robust security controls to protect sensitive data and ensure secure access to AI services.
• Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence.
• Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation.

Essential Requirements

• Extensive experience in software engineering, preferably in platform or cloud‑native service development, ideally using Microsoft and .NET technologies.
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
• Proficient in securing APIs, managing authentication/authorization and data privacy practices.
• Hands‑on experience architecting and deploying scalable cloud‑native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
• Excellent problem‑solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.

Desired Skills And Competencies

• Experience working with Large Language Models (LLMs) and understanding of trade‑offs between performance, cost, and capability.
• Understanding of Retrieval‑Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
• Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
• Familiar with AI orchestration and agentic frameworks.
• Experience with tools for automated testing and evaluation of AI outputs.
• Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
• Experience working in Agile teams and collaborating across global R&D locations.

India Benefits include

Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well‑being support.

It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Find out more: aveva.com/en/about/careers/benefits/

Hybrid working

By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office‑based. Roles supporting particular customers or markets are sometimes remote.

Equal Opportunity Employer

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis.

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria.