AI Platform Engineer

AI Infrastructure & Platform Engineer

About IMI:

Established in 1987, International Materials (IMI) is one of the world’s leading privately owned bulk raw materials trading companies, serving global customers across cement, construction, steel, and related industries. From sourcing materials to chartering vessels and delivering products directly to customers, IMI manages every step with precision, reliability, and a strong service-driven culture. With more than 185 employees across 11 international offices, long-term supplier partnerships, and an integrated global presence, we have built a reputation for technical expertise, personalized customer service, and the ability to support partners through complex supply chains.

About the Role

IMI is seeking an AI Infrastructure & Platform Engineer to help build and expand our internal AI capabilities.

This is a hands-on opportunity to work across AI, software development, cloud infrastructure, and systems integration as we develop a scalable and secure foundation for AI across the organization.

Working alongside internal teams and external technology partners, this individual will help design and build our internal AI platform, develop AI-powered workflows and integrations, and bring more AI capabilities in-house over time. The role will also help evaluate when to build solutions internally, when to leverage third-party technologies, and how to securely and reliably bring those solutions into production.

The ideal candidate combines a strong software and cloud infrastructure foundation with hands-on experience with large language models (LLMs), generative AI, and modern AI application architectures. This person will also serve as an internal advocate for AI adoption, helping technical and non-technical users understand and effectively utilize new AI-powered tools.

Key Responsibilities

• Design, build, deploy, and maintain IMI’s internal AI platform and supporting infrastructure.
• Build and manage secure cloud environments for hosting AI applications, models, agents, and services.
• Develop and productionize AI-powered workflows, automations, and agent-based solutions using LLMs and generative AI technologies.
• Design and maintain integrations between AI applications, internal systems, enterprise data, and third-party platforms using APIs.
• Develop secure connections that allow AI applications and agents to interact with proprietary company data and enterprise systems.
• Establish and maintain development, staging, and production environments for AI applications and services.
• Support CI/CD, monitoring, observability, security, maintenance, and reliability of AI applications and infrastructure.
• Partner with external AI and technology providers while helping transition appropriate knowledge and capabilities in-house.
• Evaluate build-versus-buy decisions and recommend internal, third-party, or hybrid solutions based on business needs, security, scalability, cost, and maintainability.
• Evaluate emerging AI technologies and integration standards, including Model Context Protocol (MCP) and similar technologies.
• Support company-specific AI capabilities using proprietary data, including RAG, model customization, and domain-specific solutions.
• Ensure AI infrastructure and integrations follow appropriate security and data governance practices, particularly when handling sensitive, proprietary, financial, or trading data.
• Partner with business stakeholders to identify opportunities where AI and automation can improve efficiency, productivity, and decision-making.
• Serve as an internal AI advocate, helping employees understand, adopt, and effectively use new AI tools and workflows.

Requirements

• 5+ years of professional experience in software development, cloud infrastructure, platform engineering, MLOps, DevOps, or a related technical field.
• Strong software development fundamentals with experience building, deploying, and supporting production applications or services.
• Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
• Experience with modern software deployment practices, including CI/CD and development, staging, and production environments.
• Experience developing and maintaining APIs and integrations between applications, cloud platforms, data sources, and third-party services.
• Hands-on familiarity with modern AI technologies, LLMs, generative AI, and production AI/ML systems.
• Understanding of application, infrastructure, and data security best practices.
• Strong written and verbal English communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Resourceful, collaborative, and comfortable working independently in an evolving technical environment.
• Ability to champion new technologies and work effectively across the organization to support AI adoption.

Preferred Qualifications

• Experience with AI agents, RAG, vector databases, AI orchestration frameworks, or LLM-powered workflows.
• Experience with cloud-native and infrastructure technologies such as Docker, Kubernetes, Terraform, or similar tools.
• Familiarity with Model Context Protocol (MCP) or similar AI integration standards.
• Experience with technologies such as Anthropic Claude, OpenAI, Google Gemini, Hugging Face, LangChain, LangGraph, or comparable AI platforms and frameworks.
• Experience customizing, fine-tuning, or deploying private or domain-specific language models.
• Experience working with sensitive financial, trading, or other regulated data.
• Familiarity with SOC 2 or similar security, compliance, and data governance frameworks.
• Full-stack development experience is a plus.
• Relevant cloud or AI certifications are a plus.

International Materials is an equal opportunity employer. It is our policy to provide and promote equal opportunity in employment, compensation, and all other terms and conditions of employment without discrimination based on any non-merit factor in accordance with applicable laws and regulations.