AI DevOps Engineer: LLM Apps & Cloud Infra

Universal Access and Systems Solutions Inc.; Angeles; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

Universal Access and Systems Solutions Inc. in Angeles, Philippines, seeks an AI/DevOps Engineer to design, develop, and operate AI-powered applications and AI-enabled automation across cloud, on-premise, and private GPU environments.

You will implement end-to-end pipelines, integrate LLM APIs, and build scalable backend services to support AI workflows. The role emphasizes CI/CD, observability, security, and continuous learning to stay ahead of fast-moving AI tools and practices, including

Qualifications

• 2–4 years of experience in software development, DevOps, or automation.
• Experience with AI/LLM-based solutions is strongly preferred.
• Experience deploying applications in cloud, on-premise, or private cloud.
• Familiarity with API integration and building automated workflows.
• Strong knowledge of Agile/Scrum practices.

Responsibilities

• Design, develop, and maintain AI-powered applications and services that integrate LLMs and other models.
• Integrate LLM APIs and self-hosted models on private GPU infrastructure.
• Build retrieval-augmented generation pipelines using vector databases and semantic search.
• Design agentic systems and tool-use workflows with MCP integrations.
• Apply prompt engineering, evaluation, and guardrail techniques to improve AI features.

Skills

Python

Bash / Shell

SQL

PowerShell

Go

C#

RESTful APIs

Git

CI/CD

Docker

Kubernetes

Terraform

AWS

GCP

LangChain

LlamaIndex

Weaviate

Pinecone

FAISS

Claude Code

MCP

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field

Tools

GitHub Actions

GitLab CI/CD

Jenkins

Prometheus

Grafana

Datadog

CloudWatch

Playwright

Puppeteer

Selenium

Job description

Universal Access and Systems Solutions Inc. in Angeles, Philippines, seeks an AI/DevOps Engineer to design, develop, and operate AI-powered applications and AI-enabled automation across cloud, on-premise, and private GPU environments.

You will implement end-to-end pipelines, integrate LLM APIs, and build scalable backend services to support AI workflows. The role emphasizes CI/CD, observability, security, and continuous learning to stay ahead of fast-moving AI tools and practices, including