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

Avnet; Tempe (AZ); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Generous Paid Time Off

401K and Pension Plan

Medical, Dental, Vision, and Life Insurance

Job summary

Avnet seeks an experienced professional to develop, maintain, and enhance business applications, particularly in intelligent cloud services. This role focuses on collaborating with stakeholders to implement production-grade AI features while optimizing business processes using Microsoft Azure.

Successful candidates will have extensive full-stack engineering experience, a strong understanding of Azure technologies, and a proven track record in application development.

Qualifications

• Typically 8+ years of experience with a bachelor's degree or equivalent.
• Extensive knowledge in cloud-native development and enterprise AI deployment.
• Hands-on experience with the Azure AI ecosystem.

Responsibilities

• Develop and implement AI models using Microsoft Azure technologies.
• Perform analysis, design, development, and testing of applications.
• Collaborate on the development of semi-autonomous workflows.

Skills

Full-stack engineering principles

Microsoft Azure

AI model development

Java

Angular

Python

SQL

Agile methodologies

Education

Bachelor's degree or equivalent

Tools

Azure AI

Jenkins

GitHub Actions

JUnit

Job description

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 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 solutions design techniques to develop full-stack applications to meet business specifications.
• Perform 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.
• 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, robust error handling for non-deterministic LLM outputs, and latency management.
• Integrate advanced Azure AI services and LLM workflows with existing enterprise Angular front-ends and Java/Spring Boot back-ends, ensuring secure data transit, state management, and seamless UI/UX for AI-driven features.
• Support change readiness initiatives as needed.
• Other duties as assigned.

Job Level Specifications

• Extensive knowledge and application of full-stack engineering principles, theories, and concepts. Complete knowledge of all job functions and broad industry best practices, techniques, and standards regarding cloud-native development and enterprise AI deployment.
• Develop solutions to complex problems where analysis of situations and/or data requires in-depth evaluation of variables (such as query rewriting, vector database tuning, and prompt flows). Determine the best approach to achieve results and provide suggestions to improve policies, procedures, and system performance.
• Work is performed independently and requires the exercise of judgment and discretion. Exercises considerable latitude in determining objectives and approaches to assignments. Work may be reviewed at a high-level.
• May represent the organization as a primary contact on assignments and/or projects. Interacts with senior professionals and management and frequently coordinates work between departments or organizations.
• Actions may impact the organization. Failure to accomplish work will result in the inability to reach crucial organizational goals. Erroneous decisions may have a prolonged effect resulting in the expenditure of substantial resources.

Work Experience

• Typically 8+ years with bachelor's or equivalent.

Education and Certification

• Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.

Distinguishing Characteristics

• Azure AI Ecosystem: Hands‑on experience navigating Azure AI Foundry / Azure AI Studio to configure hubs, deploy foundation models (e.g., GPT series, Llama), build prompt flows, and integrate vector search.
• Full‑Stack Project Delivery: Proven project experience in full‑stack application development utilizing Angular (or similar technologies) and Java.
• Core 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/APIs.
• Database & Data Management: Practical knowledge of SQL database design, optimization, and complex dataset retrieval. Familiarity with cloud data tools like Databricks is a plus.
• Testing & Evaluation: Experience utilizing testing tools like JUnit for Java, coupled with an awareness of LLM evaluation practices (assessing grounding, relevance, and latency metrics).
• CI/CD & DevOps: Experience participating in automated deployment and integration pipelines using GitHub Actions, Jenkins, Maven, or Gradle.

Methodologies

Strong alignment with SDLC practices including Agile/Scrum and structured configuration environments.

What We Offer

• Generous Paid Time Off
• 401K and Pension Plan
• Paid Holidays
• Family Support (Paid Leave, Surrogacy, Adoption)
• Medical, Dental, Vision, and Life Insurance
• Long‑term and Short‑term Disability Insurance
• Health Savings Account / Flexible Spending Account
• Education Assistance
• Employee Development Resources
• Employee Wellness, Leadership Development and Mentorship Programs

Benefits listed above may vary depending on the nature of your employment with Avnet.

Equal Opportunity Employer

Avnet is an Equal Opportunity Employer committed to providing equal opportunities to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex (including pregnancy), age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other characteristic protected by law. This policy of non‑discrimination also applies to religious dress and grooming practices. Avnet will accommodate employee religious dress standards and grooming practices that do not result in undue hardship for the Company.

If you are interested in applying for employment with Avnet and need special assistance or an accommodation to apply for a posted position contact our Human Resources Service Center at (888) 994‑7669.