AI Software Engineer (Azure AI, Java/Angular Full-Stack)
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Key skills for this role
Role Overview
Develop, maintain, and enhance business applications with a focus on intelligent cloud services and production-grade generative AI features.
Use modern full-stack development, agentic AI, and Azure AI solutions to meet business needs.
The role is fully onsite.
Key Skills for This Role
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Job Summary
Develop, maintain, and enhance business applications with a focus on intelligent cloud services and production-grade generative AI features.
Use modern full-stack development, agentic AI, and Azure AI solutions to meet business needs.
The role is fully onsite.
Principal Responsibilities
- Develop AI models and algorithms using Microsoft Azure technologies.
- Perform application analysis, design, development, and testing while using Azure AI for model endpoints and LLM workflows.
- Build and tune production RAG pipelines and develop semi-autonomous agentic workflows.
- Integrate Azure AI and LLM workflows with Angular front ends and Java/Spring Boot back ends.
- Support change readiness initiatives and other assigned duties.
Experience and Education
- Typically requires eight or more years of experience with a bachelor’s degree or equivalent.
- Requires a bachelor’s degree or equivalent experience providing comparable knowledge and job skills.
- Work is performed independently with considerable latitude and requires judgment on complex technical problems.
Technical Qualifications
- Hands-on experience with Azure AI Foundry or Azure AI Studio, foundation models, prompt flows, and vector search.
- Full-stack development experience using Angular or similar technologies and Java.
- Experience with Java, Python, Spring or Spring Boot, web services, SQL, Angular, TypeScript, HTML, CSS/Sass, and Bootstrap.
- Knowledge of document chunking, embeddings, vector stores, agent frameworks, and semantic orchestration patterns.
- Experience with JUnit, LLM evaluation, and CI/CD tools such as GitHub Actions, Jenkins, Maven, or Gradle.
- Familiarity with Model Context Protocol is preferred, and Databricks familiarity is a plus.
Work Level
May represent the organization as a primary contact on assignments or projects and coordinate work across departments or organizations.
Actions may affect organizational goals, resources, and system performance.
Benefits
- Benefits may include paid time off, retirement plans, paid holidays, family support, insurance coverage, disability insurance, health savings options, education assistance, development resources, and wellness programs.
- Benefits may vary depending on the nature of employment.
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