AI Platform Engineer

Usalco is a company focused on enhancing AI capabilities across various platforms. They are seeking an AI Platform Engineer responsible for designing and operationalizing AI platform capabilities, working closely with multiple teams to create scalable and secure AI-enabled services.

Responsibilities:

• Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms, including AI APIs, orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services
• Design and implement AI capabilities that enhance customer-facing digital platforms and SaaS applications, including intelligent workflows, conversational interfaces, recommendation systems, predictive insights, automation services, and AI-assisted user experiences. Partner closely with frontend, backend, and UX teams to ensure AI capabilities are seamlessly integrated into unified digital platform experiences
• Build and maintain a centralized AI Service Layer that standardizes how enterprise systems, digital platforms, and SaaS applications consume AI capabilities, ensuring reusable patterns for model access, prompt orchestration, logging, security, governance, and scalable AI integration across customer-facing and internal solutions
• Partner closely with Data Integrations Engineering and Enterprise Systems teams to ensure enterprise data assets are accessible, structured, secure, normalized, and optimized for AI and analytics workloads across both internal and customer-facing systems
• Support scalable multi-tenant and customer-specific SaaS deployment models, including customer environment provisioning standards, AI service deployment architecture, database isolation strategies, deployment automation, and platform scalability best practices
• Collaborate closely with DevOps, Backend Engineering, Data Integrations, Enterprise Systems, Frontend Development, and UI/UX teams to define scalable AI integration standards, reusable AI-enabled development patterns, and AI platform best practices across the organization. Partner with business departments including Operations, Sales, R&D, and other functional teams to identify opportunities for AI-enabled process improvement, intelligent automation, predictive insights, and enhanced digital platform capabilities that align with organizational objectives and operational needs

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field
• 5+ years of experience in AI engineering, machine learning engineering, AI platform development, or related technical roles
• Demonstrated experience building and deploying AI-enabled applications, AI services, or customer-facing AI capabilities in production environments
• Strong proficiency in Python, SQL, REST APIs, and AI service development
• Experience designing and deploying AI/ML services using Azure, Anthropic, vector databases, or related AI tooling
• Experience integrating AI capabilities into customer-facing web applications, SaaS products, or digital platform experiences
• Familiarity with scalable SaaS application architectures, API integration patterns, and AI orchestration workflows
• Familiarity with relational databases, secure data access concepts, and customer-aware data architectures
• Strong analytical, systems-thinking, and problem-solving capabilities
• Ability to clearly communicate technical concepts and AI solution designs to both technical and non-technical stakeholders
• Ability to work independently and collaboratively within cross-functional teams including Backend Engineering, Frontend Development, DevOps, Data Integrations, and UI/UX
• Willingness to travel occasionally (approximately 10%)
• Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or related field
• Experience building enterprise AI service layers, AI orchestration platforms, or reusable AI-enabled application services
• Experience integrating AI capabilities into customer-facing SaaS applications or digital platform experiences
• Experience with Azure AI Services, Azure Functions, Azure SQL, Azure Data Factory, Event Grid, Service Bus, or related Azure platform services
• Experience working within scalable SaaS application environments and customer-aware deployment models
• Experience with observability, monitoring, logging, and operational support for AI-enabled services
• Experience implementing secure AI governance, model access controls, and operational AI best practices
• Experience mentoring engineers or providing technical leadership across cross-functional development teams
• Relevant Azure, AI, or cloud-related certifications