Onsite Azure AI Full-Stack Engineer (RAG/Agentic AI)

Avnet; Tempe (AZ); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generous Paid Time Off

401K and Pension Plan

Paid Holidays

Medical, Dental, Vision Insurance

Life Insurance

Education Assistance

Employee Development Resources

Job summary

Avnet is seeking an experienced Senior AI & Full-Stack Engineer to design, implement, and optimize intelligent cloud services. The role focuses on building production-grade Generative AI features using Azure AI, coordinating with stakeholders, and delivering end-to-end full-stack solutions including Angular front-ends and Java/Spring Boot back-ends.

You will design RAG pipelines, manage LLM workflows, and ensure secure data transit with enterprise-grade UI/UX.

Qualifications

• Requires extensive knowledge of full-stack development and cloud-native AI deployment.
• Experience with Azure AI Foundry/Studio and foundation models is preferred.
• Proficiency in Angular, Java, Python, Spring/Spring Boot, and SQL.

Responsibilities

• Develop and optimize AI models and algorithms on Azure to streamline business processes.
• Build and maintain full-stack applications meeting business specs.
• Implement RAG pipelines, embeddings, vector stores, and hybrid retrieval.
• Integrate Azure AI services with Angular front-ends and Java/Spring Boot back-ends.
• Design robust, semi-autonomous workflows and agentic AI systems.
• Collaborate with stakeholders to validate requirements and strategies.
• Participate in CI/CD and automated deployment pipelines.

Skills

Azure AI

Full-stack development

Angular

Java

Python

Spring / Spring Boot

TypeScript

SQL

RAG pipelines

Agentic AI

LLM workflows

GitHub Actions

Jenkins

Maven/Gradle

Databricks

pgvector

Education

Bachelor's degree

Tools

Azure AI Studio

Angular

Java

Spring Boot

TypeScript

HTML/CSS

SQL

Databricks

pgvector

GitHub Actions

Jenkins

Maven/Gradle

Job description

Avnet is seeking an experienced Senior AI & Full-Stack Engineer to design, implement, and optimize intelligent cloud services. The role focuses on building production-grade Generative AI features using Azure AI, coordinating with stakeholders, and delivering end-to-end full-stack solutions including Angular front-ends and Java/Spring Boot back-ends.

You will design RAG pipelines, manage LLM workflows, and ensure secure data transit with enterprise-grade UI/UX.