Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a remote role and will report directly to the Head of Data Science & AI.
The role will:
Identify, solution, build, and launch GenAI products & traditional apps in all areas of the company, including Manufacturing, Legal, Finance, R&D, Supply Chain, and Sales.
Join a highly collaborative team that values speed and quality of execution, putting a high volume of high-impact ML models/GenAI agents into production.
Thrive in a fast-paced, ambiguous environment with a continuous learning mindset.
Engage heavily with stakeholders/end-users throughout the scoping & build process.
Work US eastern time zone working hours, typically 7:30am – 5pm.
The responsibilities of the position include, but are not limited to:
Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value.
Design, architect, implement, and productionize traditional software applications and GenAI agents.
Partner with users and stakeholders to scope the use case, gather requirements, establish success criteria, and deliver an intuitive, high-quality UX.
Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.
Mentor & help accelerate the work of junior developers; foster collaboration and teamwork and pair-programming culture.
Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go through approvals, architecture, security & governance reviews.
Lead end-to-end delivery for assigned opportunities.
Serve as product owner to define and maintain a phased roadmap, incorporating continuous user feedback, backlog prioritization, and release planning into recommendations.
Lead software development from design through deployment.
Communicate progress to non-technical but key stakeholders on a proactive & regular basis.
Address technical debt and build scalable, reusable architectures that are well documented and conform to security and compliance standards.
Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.
Qualifications
Degree in Computer Science or Computer Engineering.
8+ years advanced backend development with Python AND Javascript.
2+ years designing, coding (in Python), and deploying custom and complex GenAI solutions and multi-agent GenAI systems in production.
Minimum 2 years UI & frontend development with React.js, Typescript, and HTML.
Strong hands-on experience designing and building GenAI architectures and multi-agent systems.
Demonstrated experience developing, deploying, and evaluating GenAI solutions.
Strong proficiency with Pydantic models.
Excellent English communication skills, particularly with non-technical users.
Requirements
Experience with PyTorch 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.
Demonstrated enthusiasm for keeping current with advances in AI and machine learning.
Experience integrating machine learning models into custom applications.
Azure Kubernetes experience.
Experience designing, creating, and applying knowledge graphs to strengthen custom GenAI solutions.