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Avnet

Global technology distribution and solutions provider

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

AI Application Engineering +1Updated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Typically 8+ years of work experience, with a bachelor's degree or equivalent.
  • Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.
  • Hands-on experience with Azure AI Foundry or Azure AI Studio to configure hubs, deploy foundation models, build prompt flows, and integrate vector search.
  • Proven full-stack application development experience using Angular or similar technologies and Java.
  • Experience building and coding applications using Java, Python, Spring or Spring Boot, web services, and SQL.
  • Production-level experience using Angular, TypeScript, HTML, CSS or Sass, and Bootstrap.
  • Understanding of document chunking, embedding selection, vector stores such as Azure AI Search or pgvector, and exposure to multi-turn agent frameworks or semantic orchestration patterns.
  • Practical knowledge of SQL database design, optimization, and complex dataset retrieval.
  • Experience using JUnit for Java testing and awareness of LLM evaluation practices, including grounding, relevance, and latency metrics.
  • Experience participating in automated deployment and integration pipelines using GitHub Actions, Jenkins, Maven, or Gradle.
  • Strong alignment with SDLC practices, including Agile/Scrum and structured configuration environments.
  • Extensive knowledge and application of full-stack engineering principles, theories, and concepts, and broad knowledge of cloud-native development and enterprise AI deployment best practices, techniques, and standards.

Responsibilities

  • Develop and implement AI models and algorithms using Microsoft Azure technologies to optimize business processes and improve efficiency.
  • Use process design technology methodologies, programming languages and tools, and solution design techniques to develop full-stack applications that meet business specifications.
  • Perform analysis, design, development, and testing of applications to solve business requirements, leveraging Azure AI to provision resources, manage foundation model endpoints, and orchestrate LLM workflows.
  • Build and tune production-grade retrieval-augmented generation pipelines, including document ingestion, semantic chunking, embedding generation, vector indexing, and hybrid retrieval optimization.
  • Collaborate on developing semi-autonomous workflows or Agentic AI systems, focusing on tool integration, robust error handling for non-deterministic LLM outputs, and latency management.
  • Integrate Azure AI services and LLM workflows with enterprise Angular front ends and Java/Spring Boot back ends, ensuring secure data transit, state management, and seamless user experience for AI-driven features.
  • Support change readiness initiatives as needed.
  • Perform other duties as assigned.
  • Develop solutions to complex problems requiring in-depth evaluation of variables, such as query rewriting, vector database tuning, and prompt flows; determine approaches and suggest improvements to policies, procedures, and system performance.
  • Work independently, exercising judgment and discretion and considerable latitude in determining objectives and approaches; work may be reviewed at a high level.
  • Represent the organization as a primary contact on assignments or projects and coordinate work between departments or organizations.

Desired Qualifications

  • Familiarity with the Model Context Protocol (MCP) for building secure, standardized connections between LLM applications, enterprise data sources, and business tools or APIs.
  • Familiarity with cloud data tools such as Databricks.

About the Company

Avnet

Global technology distribution and solutions provider

Avnet is a global technology distributor that connects electronics component makers with customers around the world. It sources and distributes parts and offers design-in support, supply chain management, logistics, and systems integration to help bring products to market. The company stands out with its long history since 1921, large supplier and customer networks, and wide global reach, enabling end-to-end distribution and services at scale. Its goal is to help technology makers move from idea to product quickly and reliably through a globally integrated platform.

Company size
10,001+
Company stage
IPO
Headquarters
Tempe, AZ
Founded
1921

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