Sr. Full-Stack AI Engineer

Sr. Full-Stack AI Engineer
Experience: 6+ Years
Location: Remote

Key Responsibilities:

• Design and develop cloud-native full-stack AI components and backend services.
• Build structure-aware, page-aware document extraction pipelines using Azure AI Document Intelligence for complex PDF/DOCX documents.
• Architect and deploy asynchronous Review Orchestration Runtime using Azure Container Apps and Azure Service Bus.
• Design and configure dual indexes in Azure AI Search for submitted document evidence and authoritative framework references.
• Implement hybrid keyword/vector retrieval and rule-scoped search queries.
• Develop and fine-tune Microsoft Foundry prompt templates and structured JSON output schemas.
• Implement evidence-grounded AI finding generation, missing-evidence fallbacks, and model/prompt version stamping.
• Build citation and schema validation mechanisms to validate AI findings against retrieved source text and framework clauses.
• Design and maintain Dataverse data models covering Review Runs, Rule Versions, AI Findings, Evidence, and Specialist Decisions.
• Integrate Dataverse with ISMS and Power Apps workflows.
• Configure security, identity, and observability controls using Microsoft Entra ID, managed identities, Key Vault, Application Insights, and Log Analytics.
• Optimize system throughput and token usage.
• Participate in UAT, release hardening, and production readiness activities.

Required Skills:

• 6+ years of professional experience in full-stack AI and software engineering.
• Strong experience delivering scalable and secure AI software solutions for enterprise users.
• Deep expertise in RAG architecture, vector search, hybrid retrieval, and enterprise search.
• Hands-on experience with Azure AI Search, Azure OpenAI, and custom embedding models.
• Strong full-stack proficiency in TypeScript, JavaScript, Python, Node.js/NestJS, and React.
• Strong experience with Microsoft Azure cloud-native application development.
• Hands-on experience with Azure Container Apps, Service Bus, Key Vault, and Microsoft Foundry endpoints.
• Extensive experience in Intelligent Document Processing (IDP), document layout parsing, structure-aware chunking, and text extraction.
• Experience with Azure AI Document Intelligence.
• Experience designing relational data models in Dataverse.
• Experience integrating AI solutions with Microsoft Power Platform, including Power Apps and Power Automate.
• Experience building automated evaluation harnesses, citation validators, structured output schema enforcement, and telemetry monitoring.
• Experience with Application Insights and Log Analytics.

Additional Skills:

• Peer-reviewed research publications in computer vision, neural networks, or text recognition algorithms.
• Experience as an AI Technical Lead or Data Science Lead.
• Experience guiding architecture decisions, model evaluation, and production optimization.
• Experience delivering AI solutions within a client tenant environment.
• Familiarity with Power Platform and Azure AI integrations.
• Docker/containerization experience.
• CI/CD pipeline experience.
• Automated testing framework experience.

Qualification:

• Bachelors degree in Control and Automation Engineering, Computer Science, Information Technology, or a related engineering discipline.