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AI/DevOps Engineer

Universal Access and Systems Solutions Inc. · Ángeles

🇬🇧 English
vector databases embeddings semantic search Model Context Protocol (MCP) prompt engineering RESTful APIs webhooks message queues cloud deployment Power Automate n8n secure coding

Job description

About the role

The AI/DevOps Engineer builds, deploys, and operates AI‑powered software and the infrastructure that runs it. This role blends hands‑on development with DevOps and platform engineering, focusing on large language model (LLM) applications, agentic systems, and workflow automation.

Key responsibilities

  • Design, develop, and maintain AI‑enabled applications that integrate LLM APIs (e.g., Anthropic Claude) and self‑hosted models on GPU infrastructure.
  • Build retrieval‑augmented generation (RAG) pipelines using vector databases, embeddings, and semantic search to ground model outputs in enterprise data.
  • Implement agentic systems and tool‑use workflows via the Model Context Protocol (MCP) and integrate with internal and third‑party services.
  • Develop scalable, secure backend services, RESTful APIs, webhooks, and message‑queue integrations supporting AI and automation use cases.
  • Create and deploy automation workflows that combine traditional automation with AI‑driven decision‑making using platforms such as Power Automate, n8n, and Zapier‑style tools.
  • Establish CI/CD pipelines, monitoring, security, and post‑production support across cloud, on‑premise, private‑cloud, and GPU environments.

Required profile

  • Strong interest in AI, LLM technologies, and continuous learning of emerging tools.
  • Experience delivering reliable software in multi‑environment deployments (cloud, on‑premise, private‑cloud).
  • Ability to translate business requirements into technical specifications and architecture.
  • Commitment to writing clean, reusable, well‑tested, and secure code.

Required skills

  • LLM APIs (e.g., Anthropic Claude) and self‑hosted model deployment on GPU infrastructure
  • Vector databases, embeddings, semantic search for RAG pipelines
  • Model Context Protocol (MCP) and prompt engineering
  • Backend development with RESTful APIs, webhooks, and message queues
  • CI/CD pipeline creation and automation
  • Cloud, on‑premise, and private‑cloud deployment experience
  • Automation platforms: Power Automate, n8n, Zapier‑style tools
  • Secure coding practices

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Published 2 months ago

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Universal Access and Systems Solutions Inc.

Ángeles