Senior Full-Stack AI Engineer – RAG & Intelligent Document Processing

Trigyn Technologies Schweiz GmbH; Kuala Lumpur; On-site; MYR 240,000 - 360,000; Full time

Job summary

Trigyn Technologies Schweiz GmbH is seeking a Senior Full-Stack AI Engineer to design, build, and deploy scalable cloud-native AI solutions for document review and evidence-based findings in enterprise environments.

You will implement retrieval-augmented workflows, integrate Azure AI Search and Foundry services, and ensure strict citation validation to prevent AI hallucinations while collaborating with cross-functional teams.

Qualifications

• Bachelor's degree in related engineering discipline.
• 6+ years in full-stack AI and software engineering.
• Proven leadership of AI technical teams.
• Expertise in RAG, vector search, and enterprise search.
• Cloud-native development on Microsoft Azure.
• Experience with IDP and document processing.

Responsibilities

• Develop page-aware, structure-preserving extraction pipelines using Azure AI Document Intelligence.
• Architect and deploy the Review Orchestration Runtime with Azure Container Apps and Service Bus.
• Design dual Azure AI Search indexes with hybrid retrieval.
• Build and tune Foundry prompts and JSON output schemas.
• Implement citation and schema validation against source text.
• Design and maintain Dataverse data model for reviews and findings.
• Configure security and observability with Entra ID, Key Vault, App Insights.
• Collaborate with cross-functional teams to build full-stack AI components.

Skills

Full-stack AI engineering

Leadership of AI teams

RAG architecture design

Vector search / hybrid retrieval

Azure cloud-native development

IDP / Intelligent Document Processing

Dataverse / Power Platform integration

Education

Bachelor's degree in Control and Automation Engineering

Bachelor's degree in Computer Science / IT

Tools

Azure AI Search

Azure OpenAI

Microsoft Foundry

Azure Container Apps

Service Bus

Key Vault

Dataverse

Job description

Trigyn is seeking a Senior Full-Stack AI Engineer with deep expertise in cloud-native architecture, Retrieval-Augmented Generation (RAG), and Intelligent Document Processing (IDP) to support the development and implementation of the OSFG AI-Enabled Document Review Agent. This role is critical in designing, building, and deploying the core technical infrastructure, retrieval pipelines, and AI orchestration engines, ensuring that the solutions are scalable, evidence-grounded, resilient, and aligned with modern cloud and standards. The Senior Full-Stack AI Engineer will play a pivotal role in engineering the asynchronous review runtime, integrating Azure AI Search and Microsoft Foundry LLM services, building structure-aware document extraction pipelines, and enforcing strict citation validation to eliminate AI hallucinations.

Key responsibilities

• Develop page-aware, structure-preserving extraction pipelines using Azure AI Document Intelligence for complex safeguard documents (PDF/DOCX) to enable precise page-level citations.
• Architect and deploy the Review Orchestration Runtime using Azure Container Apps and Azure Service Bus to handle asynchronous review processing, rule selection snapshots, and status polling endpoints.
• Design and configure dual search indexes in Azure AI Search (separating submitted document evidence from authoritative framework references) implementing hybrid keyword/vector retrieval and rule-scoped queries.
• Build and fine-tune Microsoft Foundry prompt templates and structured JSON output schemas, ensuring evidence-grounded finding generation, missing-evidence fallbacks, and model/prompt version stamping.
• Implement citation and schema validation mechanics to verify that every AI finding is validated against retrieved source text and framework clauses prior to persistence.
• Design and maintain the Dataverse review data model (covering Review Runs, Rule Versions, AI Findings, Evidence, and Specialist Decisions) while enabling seamless integration with ISMS and Power Apps workflows.
• Configure security, identity, and observability controls utilizing Microsoft Entra ID, managed identities, Key Vault, Application Insights, and Log Analytics.
• Collaborate with cross-functional teams, including product owners and safeguard specialists, to architect, build, and test full-stack AI components and backend services.

About you

• Bachelor's degree in Control and Automation Engineering, Computer Science, Information Technology, or a related engineering discipline.
• Minimum 6 years of professional experience in full-stack AI and software engineering, with a strong track record of leading AI technical teams and engineering generative AI, NLP, computer vision, and large-scale data systems.
• Deep expertise in RAG architecture design, vector search, hybrid retrieval, and enterprise search platforms utilizing Azure AI Search, Azure OpenAI, and custom embedding models.
• Proven experience with cloud-native application development on Microsoft Azure, including 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.
• Hands-on experience designing relational data models in Dataverse and integrating AI calls within Microsoft Power Platform environments (Power Apps, Power Automate).
• Practical experience building automated evaluation harnesses, citation validators, structured output schema enforcement, and telemetry monitoring using Application Insights and Log Analytics.
• Proven track record of delivering high-quality, scalable, and secure AI software solutions, including production platforms serving enterprise user bases.