The Chemours Company is looking for:
· Experienced full stack software engineer who has a track record of designing & launching apps (for internal and 3rd party use) & GenAI solutions
Responsibilities Include, but are not limited to:
· 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.
· Success in this role is measured by the:
a. volume & speed of high-ROI apps put into prod
b. quality of UX and code (as measured by user feedback, ROI, usage)
c. cost/time needed to develop & maintain the solution
d. how reusable & easily- scalable the solution & codebase is to other use cases
e. how well and frequently the postholder helps accelerate the ENTIRE team’s technical work (via peer programming, debugging help, mentoring, etc)
Required Minimum Qualifications
· 10+ 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.
· Proficiency in GenAI embedding & advanced RAG techniques, and various search architectures (eg. hybrid, agentic, vector, full-text).
· Demonstrated ability to make AI systems explainable, debuggable, and operable in production through thoughtful traceability and observability design.
· Strong execution mindset; delivers high volume of quality work collaboratively.
· A proven track record of delivering high-impact apps/models into prod, with clean, scalable code
· Someone who excels as an individual contributor but also is skilled at mentoring, teaching, advising, and jumping in to help accelerate the work of others in the team
· Fast learner who experiments with GenAI advancements
· Thrives in fast-paced, stakeholder-driven environments.
· Degree in Software Engineering or Computer Science
Preferred Additional Qualifications
· 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)
About Our AI & Data Science Team
· Azure-first environment: Fabric, Azure ML, AI Foundry.
· Focus on high-ROI projects, executed quickly and cost-efficiently.
· Preference for fit-for-purpose and cost effective (eg. open-source) tools
· Deeply collaborative culture—no silos, strong peer support
Why Join Us?
· Work on cutting-edge, practical GenAI applications with real-world impact.
· Be part of a high-performing, supportive team valuing speed, quality, and mentorship.
· Enjoy autonomy to propose, design, and deliver impactful solutions
Job Type: Full-time
Work Location: In person
