Senior AI Engineer

Role Description

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.

Benefits

• Competitive Compensation.
• Comprehensive Benefits Packages.
• 401(k) Match.
• Employee Stock Purchase Program.
• Tuition Reimbursement.
• Commuter Benefits.
• Learning and Development Opportunities.
• Strong Inclusion and Diversity Initiatives.
• Company-paid Volunteer Day.