14 дней назад
AI Software Engineer (Azure AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (Azure AI): Building production-grade Generative AI features and full-stack business applications with an accent on Azure AI services, RAG pipelines, and Agentic AI workflows. Focus on integrating LLM workflows with Angular front-ends and Java/Spring Boot back-ends, tuning vector retrieval, and managing non-deterministic outputs, latency, and secure data transit.
Location: Tempe, Arizona, United States; fully onsite
Company
is a Fortune 500 technology distributor and solutions company providing design, supply chain, and logistics expertise throughout the product lifecycle.
What you will do
- Develop, maintain, and enhance business applications with intelligent cloud services and Generative AI features.
- Build and optimize AI models, Azure AI resources, foundation model endpoints, prompt flows, and LLM workflows.
- Design and tune production-grade RAG pipelines covering document ingestion, semantic chunking, embeddings, vector indexing, and hybrid retrieval.
- Develop semi-autonomous Agentic AI workflows with tool integration, robust error handling, and latency management.
- Integrate Azure AI and LLM capabilities with Angular front-ends and Java/Spring Boot back-ends, including secure data transit and state management.
- Perform analysis, design, development, testing, and deployment activities in collaboration with stakeholders and other departments.
Requirements
- 8+ years of relevant work experience with a bachelor's degree or equivalent experience.
- Hands-on experience with Azure AI Foundry or Azure AI Studio, including hubs, foundation model deployment, prompt flows, and vector search.
- Production full-stack development experience with Java and Angular or similar technologies.
- Strong skills in Java, Python, Spring/Spring Boot, web services, SQL, TypeScript, HTML, CSS/Sass, and Bootstrap.
- Experience with RAG and Agentic AI patterns, vector stores such as Azure AI Search or pgvector, and LLM evaluation practices.
- Experience with automated CI/CD and integration pipelines using GitHub Actions, Jenkins, Maven, or Gradle; familiarity with Agile/Scrum and SDLC practices.
Nice to have
- Familiarity with the Model Context Protocol (MCP).
- Experience with Databricks.
- Knowledge of multi-turn agent frameworks or semantic orchestration patterns.
Culture & Benefits
- Collaborative work environment grounded in integrity, inclusion, and long-term partnerships.
- Generous paid time off and paid holidays.
- 401(k), pension plan, medical, dental, vision, and life insurance.
- Paid family leave, surrogacy and adoption support, and disability insurance.
- Health Savings Account or Flexible Spending Account, education assistance, and employee development resources.
- Wellness, leadership development, mentorship, and community-giving programs.
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