Senior AI Applications Engineer designing and developing applications for AI and data science at Chemours. Leading initiatives across various departments to implement generative AI solutions and enhance user experience.
Responsibilities
Design, architect, implement, and productionize applications across both traditional software and Generative AI use cases
Partner with users and stakeholders to gather requirements and deliver intuitive, high-quality user experiences
Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales
Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value
Own product direction for assigned solutions, including roadmap definition, backlog prioritization, and release planning
Mentor & help accelerate the work of junior developers; foster collaboration and teamwork
Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture, security & governance reviews
Address technical debt and build scalable, reusable architectures that are well documented and conform to security and compliance standards
Organize and lead user workshops to identify high-ROI use cases
Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.
Requirements
Degree in Software Engineering, Computer Science or another related field
7+ years building enterprise-grade applications, ideally with Microsoft Azure tools (eg. Fabric, Azure AI Foundry, Azure resources & platforms)
5+ years advanced backend development with Python
5+ years advanced backend development with Javascript
Minimum 4+ years UI & frontend development with React.js, Typescript, and HTML
2+ years designing, coding, and deploying custom GenAI GPTs and multi-agent GenAI systems in production (using Python)
Excellent English communication skills, in particular with non-technical users; proven ability to translate user needs into technical specs and regularly communicate progress to a wide range of technical & non-technical stakeholders.
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