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.

Technical Architecture

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.

Team Management & Collaboration

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.

Execution & Development

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.

Required Qualifications

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.

Preferred Skills & Experience

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.

AI Engineering Lead

Key Skills

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