AI Engineering Lead

Location: Remote
Company: Ultahost
Type: Full-Time | Technical Role
Level: Senior–Lead Level
Role Overview

Ultahost is seeking a seasoned AI Engineering Lead to lead the architecture, development, and execution of our AI-driven initiatives. This is a hands-on leadership role that combines technical expertise, strategic vision, and team management. You will take ownership of ongoing and upcoming AI projects—including UltaAI, our intelligent microservice-based assistant built in Golang that automates key customer actions across our hosting infrastructure.

This role requires a strong background in software architecture, AI integration, and backend development, along with proven experience managing engineering teams in fast-paced, remote-first environments.

Key Responsibilities:

AI Project Leadership

• Lead the planning, development, and deployment of AI initiatives, starting with UltaAI.
• Define and manage AI project roadmaps, timelines, and milestones.
• Collaborate cross-functionally with backend/frontend engineers, DevOps, and product teams.

• Design scalable and secure AI software architectures for high-availability hosting platforms.
• Oversee technical decision-making across AI projects and ensure alignment with best practices.
• Guide implementation of microservice-based systems, APIs, and integrations.

• Manage and mentor AI developers; assign tasks, conduct code reviews, and ensure timely delivery.
• Foster collaboration between AI developers and the broader development team.
• Establish quality assurance, reliability, and security standards across AI systems.

• Actively contribute to development when needed, especially for critical components or prototypes.
• Evaluate and implement new tools, frameworks, and platforms to optimize AI performance and deployment.

• 5+ years of experience in software development, with at least 2 years in a leadership or management role.
• Strong expertise in backend development (preferably Golang or similar).
• Proven experience with AI agent development, machine learning frameworks, or AI integrations.
• Experience architecting and deploying microservices and cloud-native applications.
• Deep understanding of secure software development and DevOps principles.
• Hands-on experience working in remote, agile development teams.

• Experience in the hosting industry, VPS platforms, or infrastructure automation.
• Familiarity with LLMs, NLP agents, or AI-driven chat/command interfaces.
• Knowledge of containerization (Docker/Kubernetes) and CI/CD pipelines.
• Exposure to tools like LangChain, OpenAI APIs, or similar AI development toolkits.
• Prior involvement in building user-facing AI applications or bots.