As a Senior AI Engineer at Xdemand, you will play a critical role in developing programmatic solutions that support our AI-driven inventory management platform. You will focus on designing and implementing robust, production-level AI systems, managing scalable data pipelines, and ensuring seamless API integrations. You will work in close collaboration with data scientists, web developers, and product managers to ensure that our solutions are effective, scalable, and aligned with our business goals. The ideal candidate should have a deep understanding of software engineering best practices and strong experience in developing cloud-based AI services.
Key Responsibilities
AI System Architecture: Design, develop, and maintain the architecture of AI systems that are fully integrated into our predictive inventory planning platform
Cloud Deployment: Lead the deployment of AI models and algorithms on cloud platforms, primarily Azure, ensuring efficient, secure, and scalable systems
API Development and Integration: Develop and optimize APIs to integrate AI models into Xdemand's inventory planning tools, ensuring smooth communication between software components
Data Pipeline Management: Build and manage scalable data pipelines that facilitate seamless data ingestion, processing, and integration for model training and inference
Automation & Scalability: Develop automated processes for model retraining, updates, and deployment in a high-availability production environment
SaaS Platform Enhancement: Integrate AI-powered features into our SaaS platform, contributing to new functionalities that provide clients with actionable insights on inventory management and demand forecasting
Cross-functional Collaboration: Work alongside software engineers, product managers, and operations teams to ensure alignment between AI capabilities and business needs
Continuous Improvement: Stay ahead of the curve by monitoring the latest developments in AI, cloud computing, and machine learning, and applying new knowledge to enhance our solutions
Requirements
Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field
Professional Experience: At least 5+ years of experience in AI engineering with a focus on cloud deployment, automation, and API development
Programming & Technical Skills:
Expertise in Python and hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
Strong proficiency in cloud platforms, particularly Azure, for deploying and scaling AI services
Solid experience in developing APIs using RESTful or GraphQL services
Experience with infrastructure-as-code tools (Terraform, Kubernetes) and automation frameworks
Pipeline Management: Strong knowledge of building and managing scalable data pipelines using tools such as Apache Airflow, Kafka, or AWS Glue
SaaS & API Expertise: Experience in developing and integrating APIs within SaaS applications, emphasizing system reliability, performance, and security
Problem-Solving Skills: Ability to troubleshoot complex systems and optimize performance in production environments
Communication Skills: Strong communication skills, with the ability to explain technical challenges and solutions to non-technical stakeholders
Benefits
Competitive Salary: Attractive compensation package, including performance-based bonuses
Flexible Work Arrangements: Options for remote work and flexible hours to support work-life balance
Professional Development: Opportunities for continuous learning, including conference sponsorships and access to exclusive educational resources
Comprehensive Health Coverage: Health, dental, and vision insurance, along with wellness programs
Career Growth: A chance to make a tangible impact in a fast-growing company at the forefront of predictive inventory management
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