Senior AI Engineer & Technical Lead — Remote (Global)

ERNI

Mandaluyong

Hybrid

PHP 2,009,000 - 4,018,000

Part time

7 days ago

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Benefits offered by this job

Remote opportunity

International Hiring

Job summary

ERNI is seeking a Senior Full-Stack AI Engineer / AI Technical Lead to design and deliver production-grade AI solutions, including document processing, hybrid/vector search, and enterprise workflows. You will work remotely on a 1-year project with alignment to Manila business hours, collaborating with global clients on cutting-edge AI deployments.

Ideal candidates have 6+ years in full-stack development and AI/ML, deep RAG and Azure OpenAI expertise, and hands-on experience with Azure services

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
6+ years of professional experience in full-stack software engineering and AI/ML development.
Strong experience delivering enterprise-grade, scalable, secure AI solutions in production.
Deep expertise in RAG, vector search, hybrid retrieval, Azure AI Search, Azure OpenAI, and Generative AI.
Experience with Azure cloud-native development, particularly Azure Container Apps, Service Bus, Key Vault, and Microsoft Foundry.
Hands-on experience with Intelligent Document Processing, document layout parsing, structure-aware chunking, and text extraction.
Experience with Dataverse, Power Apps, and Power Automate integrations.
Experience with AI evaluation, structured output validation, citation validation, telemetry, and monitoring.

Responsibilities

Build structure-aware document processing pipelines using Azure AI Document Intelligence for PDF/DOCX and page-level citations.
Design RAG, hybrid keyword/vector retrieval, and enterprise search using Azure AI Search, Azure OpenAI, and embeddings.
Develop cloud-native services using Azure Container Apps, Azure Service Bus, Key Vault, and Microsoft Foundry.
Develop AI prompt templates, structured JSON outputs, evaluation harnesses, and citation/schema validation.
Design Dataverse data models and integrate AI solutions with Power Apps and Power Automate.
Implement security, identity, monitoring, and observability using Microsoft Entra ID, managed identities, Application Insights, and Log Analytics.
Optimize AI solution performance, throughput, token usage, reliability, and production readiness.
Collaborate with product owners, domain specialists, and cross-functional technical teams.