1 month ago
Phoenix, AZ, USA or Tempe, AZ, USASenior
Responsibilities
- Develop and optimize AI models, algorithms, and intelligent cloud services using Microsoft Azure technologies.
- Design, develop, test, and maintain full-stack applications using Angular front ends and Java/Spring Boot back ends.
- Provision Azure AI resources, manage foundation model endpoints, and orchestrate LLM workflows.
- Build and tune production-grade RAG pipelines, including document ingestion, semantic chunking, embeddings, vector indexing, and hybrid retrieval.
- Develop semi-autonomous workflows and Agentic AI systems with tool integration, error handling, and latency management.
- Integrate Azure AI and LLM workflows with enterprise applications while supporting secure data transit, state management, and AI-driven user experiences.
- Collaborate with stakeholders to validate requirements, evaluate technologies, and recommend technical strategies.
- Participate in automated deployment, integration pipelines, testing, and change-readiness initiatives.
Requirements
- Bachelor’s degree or equivalent experience from which comparable knowledge and job skills can be obtained.
- Typically 8+ years of work experience with a bachelor’s degree or equivalent.
- Extensive knowledge of full-stack engineering, cloud-native development, and enterprise AI deployment.
- Hands-on experience with Azure AI Foundry or Azure AI Studio, foundation model deployment, prompt flows, and vector search.
- Project experience with Angular or similar technologies and Java-based full-stack development.
- Experience with Java, Python, Spring or Spring Boot, web services, and SQL.
- Production-level experience with Angular, TypeScript, HTML, CSS/Sass, and Bootstrap.
- Understanding of document chunking, embedding selection, vector stores, hybrid retrieval, and Agentic AI patterns.
- Experience with JUnit and awareness of LLM evaluation metrics such as grounding, relevance, and latency.
- Experience with automated deployment and integration pipelines using GitHub Actions, Jenkins, Maven, or Gradle.
- Familiarity with the Model Context Protocol, multi-turn agent frameworks, semantic orchestration, and cloud data tools such as Databricks is preferred.
- Ability to independently solve complex problems, exercise judgment, coordinate across organizations, and interact with senior professionals and management.
Benefits
- Fully onsite work arrangement.
- Generous paid time off and paid holidays.
- 401(k) and pension plan.
- Medical, dental, vision, life, short-term disability, and long-term disability insurance.
- Health Savings Account and Flexible Spending Account.
- Paid family leave, surrogacy, and adoption support.
- Education assistance and employee development resources.
- Employee wellness, leadership development, mentorship programs, and flexible working arrangements.
Tech Stack
AngularAzureBootstrapCSSDatabricksGitHub ActionsGradleHTMLJavaJenkinsJUnitMavenPythonSassSpring BootSQLTypeScript
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