Senior AI Automation, Integration & Infrastructure Engineer

Soveraign Solutions; Philippines; On-site; PHP 5,265,000 - 7,897,000; Part time

Job summary

SoverAIgn Solutions seeks an experienced AI engineer for a hands-on, enterprise project based in the Philippines. You will architect an on-premises AI platform, configure NVIDIA GPU hardware, and integrate AI with AutoCAD workflows to support engineering teams.

Responsibilities include selecting hardware, setting up Linux, CUDA, Docker, and LLM inference, plus securing and monitoring the environment. Strong collaboration with U.S. customers is essential.

Qualifications

• Senior-level experience developing and deploying enterprise AI solutions.
• Strong knowledge of Linux, CUDA, Docker, GPU memory optimization, and local LLM inference.
• Strong Python, API development, and software integration skills.
• Experience implementing secure, production-ready AI infrastructure.
• Ability to participate in technical discovery meetings with U.S. enterprise customers.

Responsibilities

• Recommend NVIDIA GPU servers, CPUs, RAM, storage, networking, and power needs.
• Help select, configure, install, and optimize on-premises AI hardware.
• Configure Linux servers, NVIDIA drivers, CUDA, Docker, and GPU inference environments.
• Benchmark local LLM performance, GPU memory usage, and concurrent-user capacity.
• Implement secure networking, access controls, monitoring, backups, and recovery procedures.
• Troubleshoot hardware, GPU compatibility, performance, and deployment issues.
• Deploy and optimize locally hosted LLMs using Ollama, vLLM, llama.cpp, or similar.
• Build secure AI applications using Python, FastAPI, RAG, and vector databases.
• Integrate AI services with existing enterprise applications.
• Implement structured tool execution, automated testing, logging, and security safeguards.
• Integrate with AutoCAD using .NET, C#, AutoLISP, or supported APIs.
• Automate repetitive engineering drawing tasks, document processing, and CAD data extraction.
• Build reliable workflows with deterministic validation and human engineering approval.

Skills

Senior AI experience

Python

API development

Software integration

Security best practices

Tools

Linux

CUDA

Docker

NVIDIA GPUs

LLM inference

Job description

SoverAIgn Solutions | Project-Based / Contract Opportunity (Philippines Only!)

SoverAIgn Solutions is seeking an experienced, hands-on AI engineer for a potential enterprise AI implementation project with a U.S.-based industrial manufacturing company.

The project involves building a secure, on-premises AI platform, configuring dedicated NVIDIA GPU hardware, and integrating AI with AutoCAD engineering workflows.

Key Responsibilities

• Recommend appropriate NVIDIA GPU servers, CPUs, RAM, storage, networking, and power requirements.
• Help select, configure, install, and optimize dedicated on-premises AI hardware.
• Configure Linux servers, NVIDIA drivers, CUDA, Docker, and GPU inference environments.
• Benchmark local LLM performance, GPU memory requirements, and concurrent-user capacity.
• Implement secure networking, access controls, monitoring, backups, and recovery procedures.
• Troubleshoot hardware, GPU compatibility, performance, and deployment issues.

2. Private AI & LLM Deployment

• Deploy and optimize locally hosted LLMs using Ollama, vLLM, llama.cpp, or similar technologies.
• Build secure AI applications using Python, FastAPI, RAG, and vector databases.
• Integrate AI services with existing enterprise applications.
• Implement structured tool execution, automated testing, logging, and security safeguards.
• Integrate with AutoCAD using .NET, C#, AutoLISP, or supported APIs.
• Automate repetitive engineering drawing tasks, document processing, and CAD data extraction.
• Build reliable workflows with deterministic validation and human engineering approval.

Required Qualifications

• Senior-level experience developing and deploying enterprise AI solutions.
• Strong knowledge of Linux, CUDA, Docker, GPU memory optimization, and local LLM inference.
• Strong Python, API development, and software integration skills.
• Experience implementing secure, production-ready AI infrastructure.
• Ability to participate in technical discovery meetings with U.S. enterprise customers.

Highly Desirable

• AutoCAD integration experience using .NET, C#, or AutoLISP.
• Manufacturing or engineering software automation experience.
• MLOps, DevSecOps, and enterprise security experience.

Who We're Looking For

A senior technical professional who can help us design the solution, recommend and configure the physical AI hardware, integrate the software, and lead implementation from proof of concept through production.

You should be comfortable discussing technical requirements directly with customer IT managers and engineering teams.

Engagement: Project-based contract, with potential for additional enterprise AI projects.