Senior Software Engineer - AI Platform & Cloud Services

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Senior Software Engineer - AI Platform & Cloud Services

Aveva

Bengaluru / Hyderabad

5-8 years

1 day ago

$41.0K–60.2K/yr

Full-time

Hybrid

Skills Required LLM

RAG

Prompt Engineering

agentic frameworks

Microsoft .NET

REST API

API design

API versioning

API testing

authentication

authorization

data privacy

Docker

Kubernetes

Azure

Description AVEVA is hiring a Senior Software Engineer for its Core AI Services team to build secure, cloud-native AI platform services and public APIs. The role focuses on scalable AI-enabling foundations across AVEVA’s product portfolio and partner ecosystem.

Company: AVEVA

Role: Senior Software Engineer - AI Platform & Cloud Services

Location: Bangalore, India | Hyderabad, India

Experience

• Extensive experience in software engineering
• Experience in platform or cloud-native service development
• Experience using Microsoft and .NET technologies
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management
• Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes
• Excellent problem-solving skills
• Ability to analyse complex technical challenges and propose scalable solutions
• Experience working in Agile teams
• Experience collaborating across global R&D locations

Responsibilities

• Design, develop, and scale AI-enabling platform services and public APIs
• Work with multiple teams to create AI solutions
• Build scalable, fault-tolerant cloud-native services on Microsoft Azure
• Develop secure, well-documented public APIs and SDKs for internal and external developers
• Collaborate across data pipelines, orchestration, and service APIs to deliver end-to-end solutions
• Embed robust security controls to protect sensitive data and secure access to AI services
• Contribute to design reviews, code reviews, and architectural discussions
• Mentor junior developers
• Encourage continuous learning
• Contribute to a culture of innovation
• Work as part of a Scrum team to build standards-compliant, secure, production-grade AI capabilities

Additional Responsibilities

• Support rapid prototyping and continuous improvement with agility of a start-up
• Help master Agentic Systems and build future MLOps pipelines

Nice To Have

• Experience with Large Language Models and trade-offs between performance, cost, and capability
• Understanding of Retrieval-Augmented Generation, agent orchestration, prompt engineering, and tool calling
• Familiarity with AI standards such as Model Context Protocol and Agent2Agent
• Familiarity with AI orchestration and agentic frameworks
• Experience with tools for automated testing and evaluation of AI outputs
• Knowledge of AI ethics and regulations and commitment to responsible AI development

More Skills AI model deployment, AI tooling development, SDKs, PaaS, agent orchestration, tool calling, Model Context Protocol, MCP, Agent2Agent, A2A, AI orchestration, automated testing, evaluation of AI outputs, AI ethics, NIST AI RMF, EU AI Act, Agile

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