Aveva

2 days ago

AI Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Design and scale AI-enabling platform services and secure, production-grade public APIs that help power AI adoption across products and partner ecosystems. Work on end-to-end solutions spanning AI model deployment, training, data pipelines, orchestration, and SDK development. Collaborate with cross-functional teams in a Scrum environment while embedding security controls, testing/evaluation for AI outputs, and building cloud-native services on Microsoft Azure.

Location: California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
•Work with multiple teams to create AI solutions, including model deployment, training, and AI tooling development.
•Build scalable, fault-tolerant cloud-native services on Microsoft Azure for high performance and reliability.
•Develop secure, well-documented public APIs and SDKs for internal and external developers.
•Embed robust security controls and collaborate across data pipelines, orchestration, and service APIs to deliver end-to-end solutions.

Pay and Benefits

Salary: USD 103,500 - 172,500

Perks:MedicalDentalVision401kParental Leave

Key Requirements

•Experience working with Large Language Models (LLMs), including 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).
•Fluent developing code using AI tools such as GitHub Copilot, with prompt engineering to complete development tasks.
•Experience with Python and AI frameworks/tools such as PyTorch and TensorFlow; experience with automated testing and evaluation of AI outputs.

Experience:AICloud-nativeLLMsMachine learning

Skills:Problem-solvingCollaborationAgility

Tech Stack:PythonPyTorchTensorFlowMicrosoft AzureAzure FunctionsAKSAPI ManagementRESTful APIsGitHub Copilot.NETLLMsRAGPrompt engineeringTool callingMCPA2ANIST AI RMFEU AI ActAWSGCP

Company Brief

Aveva

Provides industrial software for engineering, design, and information management across industries including oil & gas, manufacturing, and utilities. Delivers solutions for digital transformation, asset performance, and operations optimization.

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn

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Aveva

2 days ago

AI Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
•Work with multiple teams to create AI solutions, including model deployment, training, and AI tooling development.
•Build scalable, fault-tolerant cloud-native services on Microsoft Azure for high performance and reliability.
•Develop secure, well-documented public APIs and SDKs for internal and external developers.
•Embed robust security controls and collaborate across data pipelines, orchestration, and service APIs to deliver end-to-end solutions.

Pay and Benefits

Salary: USD 103,500 - 172,500

Perks:MedicalDentalVision401kParental Leave

Key Requirements

•Experience working with Large Language Models (LLMs), including 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).
•Fluent developing code using AI tools such as GitHub Copilot, with prompt engineering to complete development tasks.
•Experience with Python and AI frameworks/tools such as PyTorch and TensorFlow; experience with automated testing and evaluation of AI outputs.

Experience:AICloud-nativeLLMsMachine learning

Skills:Problem-solvingCollaborationAgility

Tech Stack:PythonPyTorchTensorFlowMicrosoft AzureAzure FunctionsAKSAPI ManagementRESTful APIsGitHub Copilot.NETLLMsRAGPrompt engineeringTool callingMCPA2ANIST AI RMFEU AI ActAWSGCP

Company Brief

Aveva

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn