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.