Skip to content
NEXTMOVEFDE careers · United States
Avnet

AI Software Engineer (Azure AI, Java/Angular Full-Stack)

AI summary of the role

Develops, maintains, and enhances business applications with a specialized focus on building, validating, and optimizing intelligent cloud services using Azure AI.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Develop and implement AI models and algorithms using Microsoft Azure technologies to optimize business processes and improve efficiency.
  • Build and tune production-grade RAG pipelines including document ingestion, semantic chunking, embedding generation, vector indexing, and hybrid retrieval optimization.
  • Collaborate on the development of semi-autonomous workflows or Agentic AI systems, focusing on tool integration, error handling, and latency management.
  • Integrate advanced Azure AI services and LLM workflows with existing enterprise Angular front-ends and Java/Spring Boot back-ends.

What you’ll bring

  • 8+ years of experience with a bachelor's degree or equivalent.
  • Hands-on experience with Azure AI Foundry / Azure AI Studio, deploying foundation models and building prompt flows.
  • Proven full-stack project delivery experience using Angular and Java.
  • Core languages: Java, Python, Spring/Spring Boot, Web Services, SQL.

Technologies

Azure AI Foundry · Azure AI Studio · GPT · Llama · RAG · vector search · Angular · Java · Spring Boot · Python

Source and classification

Internal deployment & tooling · Evidence for this classification:

Who We Are: At Avnet, relationships matter. We are a global, FORTUNE ® 500 technology distributor and solutions company that delivers design, supply chain and logistics expertise to customers at every stage of a product’s lifecycle. Our employees have a front row seat to the latest innovations shaping the world we live in and the future we share. We’re driven to help our customers around the world succeed and we do so by earning the trust of some of the biggest names in technology. Working at Avnet means being a part of a global team. We work collaboratively and with integrity, doing business the right way. For more than a century, we have partnered together to help our customers, suppliers and teammates realize the transformative possibilities of technology. Experience what’s next at Avnet! This role is fully onsite. Job Summary: Develops, maintains, and enhances business
More from the job description

Who We Are: At Avnet, relationships matter. We are a global, FORTUNE ® 500 technology distributor and solutions company that delivers design, supply chain and logistics expertise to customers at every stage of a product’s lifecycle. Our employees have a front row seat to the latest innovations shaping the world we live in and the future we share. We’re driven to help our customers around the world succeed and we do so by earning the trust of some of the biggest names in technology. Working at Avnet means being a part of a global team. We work collaboratively and with integrity, doing business the right way. For more than a century, we have partnered together to help our customers, suppliers and teammates realize the transformative possibilities of technology. Experience what’s next at Avnet! This role is fully onsite. Job Summary: Develops, maintains, and enhances business applications with a specialized focus on building, validating, and optimizing intelligent cloud services. Collaborates with stakeholders to validate user requirements, assess available technologies, and recommend technical strategies to deliver production-grade Generative AI features. Assesses objectives for assigned project phases and recommends technical tactics to achieve business needs through modern full-stack development, Agentic AI, and AI solutions. Principal Responsibilities: Develop and implem [... source excerpt omitted ...] utions design techniques to develop full-stack applications to meet business specifications. Performs analysis, design, development, and testing of applications to solve business requirements, actively leveraging Azure AI to provision resources, manage foundation model endpoints, and orchestrate LLM workflows. Builds and tunes production-grade RAG pipelines (including document ingestion, semantic chunking, embedding generation, vector indexing, and hybrid retrieval optimization). Collaborates on the development of semi-autonomous workflows or Agentic AI systems, focusing on tool integration, robust error handling for non-deterministic LLM outputs, and latency management. Integrat [... source excerpt omitted ...] re Languages & Frameworks: Building and coding applications using languages/technologies such as Java, Python, Spring / Spring Boot, Web Services, and SQL. Frontend Technologies: Production-level experience using Angular, TypeScript, HTML, CSS/Sass, and Bootstrap. RAG & Agentic Patterns: Understanding of strategic document chunking, embedding selection, vector stores (e.g., Azure AI Search, pgvector), and exposure to multi-turn agent frameworks or semantic orchestration patterns. Emerging AI Standards (Preferred): Familiarity with the Model Context Protocol (MCP) for building secure, standardized connections between LLM applications, enterprise data sources, and business tools/A

How jobs are selected

Employer postings · Data from · Sources