AI Software Engineer

What you'll do

• Develop and implement AI models and algorithms using Microsoft Azure technologies to optimize business processes.
• Build and tune production-grade RAG pipelines including document ingestion, semantic chunking, and vector indexing.
• Develop semi-autonomous workflows or Agentic AI systems with robust error handling and latency management.
• Integrate Azure AI services and LLM workflows with existing Angular front-ends and Java/Spring Boot back-ends.
• Perform analysis, design, development, and testing of applications to solve complex business requirements.
• Provision resources and manage foundation model endpoints to orchestrate LLM workflows.
• Recommend technical strategies and tactics to achieve business needs through modern full-stack development.

What we're looking for

• Typically 8+ years of experience is required.
• Bachelor's degree or equivalent experience is required.
• Hands-on experience is required in navigating Azure AI Foundry and Azure AI Studio to deploy foundation models and build prompt flows.
• Proven project experience in full-stack application development using Angular and Java is required.
• Proficiency in Java, Python, Spring/Spring Boot, Web Services, and SQL is required.
• Production-level experience with Angular, TypeScript, HTML, CSS/Sass, and Bootstrap is required.
• Knowledge of RAG patterns, vector stores, and multi-turn agent frameworks is required.
• Familiarity with the Model Context Protocol (MCP) is preferred.