AI Engineer – Agentic AI, Cloud Infrastructure

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, develop, and implement AI agents capable of executing multi-step tasks and automating business workflows.

• Construct agents using technologies such as Microsoft Foundry, Azure AI Agent Service, LangGraph, Semantic Kernel, or similar tools.

• Create capabilities for tool invocation, function execution, retrieval-augmented generation, memory management, and workflow orchestration.

• Integrate agents with internal applications, external APIs, databases, Microsoft Teams, SharePoint, Outlook, OneDrive, calendars, and various enterprise systems.

• Execute multi-agent workflows, human-in-the-loop approval processes, security measures, authentication, authorization, delegated permissions, application permissions, app registrations, and On-Behalf-Of (OBO) flows.

• Test, assess, and enhance agent accuracy, reliability, performance, latency, scalability, and cost-effectiveness.

• Fine-tune and personalize both commercial and open-source Large Language Models (LLMs), including Llama, Qwen, and Mistral.

• Prepare training datasets, conduct preprocessing, and establish model evaluation pipelines.

• Utilize LoRA and QLoRA, supporting model serving, quantization, and inference optimization.

• Provision, configure, and oversee Microsoft Azure infrastructure for AI applications.

• Work with Azure AI Foundry, Azure OpenAI Service, Azure App Service, Azure Functions, Azure Container Apps, Azure AI Search, Azure Storage, databases, Azure Key Vault, Azure Monitor, Application Insights, and Microsoft Entra ID.

• Develop and maintain CI/CD pipelines utilizing Azure DevOps.

• Manage source control, deployments, and environment configurations using Git and Azure DevOps.

• Support infrastructure as code through Terraform or Bicep.

• Implement monitoring, logging, error handling, troubleshooting, and ongoing production maintenance.

• Optimize cloud infrastructure for performance, reliability, security, and cost efficiency.

• Collaborate with clients and provide training or knowledge-transfer sessions as necessary.

⛳️ Requirements

• 2–5 years of experience in software engineering, AI engineering, machine learning engineering, or related technical positions.

• Strong programming skills in Python, with experience in developing backend services and APIs.

• Practical experience in creating LLM-powered applications, AI agents, or intelligent automation systems.

• Familiarity with agent frameworks such as Microsoft Foundry Agent Service, LangGraph, Semantic Kernel, or similar tools.

• Working knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, tool invocation, and LLM orchestration.

• Hands-on experience with Microsoft Azure, including deployment and management of cloud applications.

• Proficient in using Azure DevOps, Git, and CI/CD pipelines.

• Understanding of REST APIs, authentication, authorization, and integration with enterprise systems.

• Knowledge of Microsoft Entra ID, OAuth 2.0, and Microsoft Graph API.

• Experience with open-source LLMs and familiarity with model fine-tuning methodologies.

• Comprehension of model evaluation, inference, and performance optimization techniques.

• Ability to engage with clients on AI solutions, translating technical concepts into business value, and provide training or knowledge-transfer sessions as required.

🏝️ Benefits

• Complimentary lunch, fruits, snacks, and beverages (available if you are on an onsite shift).

• Onsite gym with a complimentary professional instructor.

• Weekly fitness activities and an annual fitness challenge with potential winnings of up to Php 70,000.

• Weekly engagement activities with prizes reaching up to Php 3,000.

• Free upskilling academy to enhance your performance and skillset.

• State-of-the-art facilities from restrooms to workstations.

• Amenities including sleeping quarters, game areas, chat rooms, and shower facilities.