Senior AI Applications Engineer

The Chemours•Wilmington, NC

2d•Hybrid

About The Position

As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world. CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry. Chemours is seeking a Senior AI Applications Engineer to join our growing AI & Data Science team. This HYBRID position will be available at Wilmington DE and report directly to the Head of Data Science & AI. For the right candidate we may consider remote. Experienced full stack software engineer who has a track record of designing & launching apps (for internal and 3rd party use) & GenAI solutions. Successful candidates will be able to thrive in a fast paced, ambiguous environment with a continuous learning mindset. Role will also require heavy stakeholder/end-user engagement throughout the build process. Accommodate eastern time zone working hours.

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.

Nice To Haves

Experience designing & launching Copilot Studio GenAI agents (i.e. advanced multi-agent solutions).
Experience with PyTorch, including training and fine-tuning pre-trained models, and iterating on model performance using task-specific data and empirical evaluation.
Strong experience building and operating CI/CD pipelines for AI and software systems in Azure-based environments, including automated testing, deployment, and secure, reproducible releases.
Enthusiasm for keeping current with advances in AI and machine learning, with the ability to translate new research, models, and techniques into practical, production-ready solutions.
Azure Kubernetes experience
Knowledge graph design and ontology creation (eg. Fabric IQ or Neo4j)

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.