> Markdown version of [/jobs/ext/3365952-ai-software-engineer-azure-ai-java-angular](https://www.wearedevelopers.com/jobs/ext/3365952-ai-software-engineer-azure-ai-java-angular). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer (Azure AI, Java/Angular... - **Company:** Avnet, Inc. - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Testing, Automation of Tests, Microsoft Azure, Bootstrap (Software), Business Software, Cascading Style Sheets (CSS), Cloud Computing, Cloud Database, Databases, Continuous Integration, Data Security, Database Design, DevOps, Github, Gradle, Design of User Interfaces, Junit, Python (Programming Language), Apache Maven, Scrum Methodology, Systems Development Life Cycle, Azure Machine Learning, Search Technologies, Software Deployment, SQL Databases, TypeScript, Web Services, Large Language Models, Multi-Agent Systems, Database Optimization, Spring-boot, Generative AI, Syntactically Awesome Style Sheets (SASS), AngularJS, Deployment Automation, Data Management, Front End Software Development, Virtual Agents, GPT, Data Pipelines, Jenkins, Databricks, Programming Languages - **Published:** September 1, 2026 - **Apply:** https://www.juju.com/job/00000000gq13xv ## About the Role + 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. + Develops 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). Determines the best approach to achieve results and provides 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(s): + 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. ## 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. + Uses process design technology methodologies, programming languages and tools, and solutions 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. + Integrates 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. + Supports change readiness initiatives as needed. + Other duties as assigned. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [From boy scouting to redrawing the landscape](https://www.wearedevelopers.com/videos/1140-from-boy-scouting-to-redrawing-the-landscape) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Got AI ideas but no money? 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