About this role
Job title: Senior AI Engineer
About the Role Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This remote role reports to the Head of Data Science & AI and will identify, design, build, and launch GenAI products and traditional applications across Manufacturing, Legal, Finance, R&D, Supply Chain, and Sales to create measurable value.
What You'll Do
- 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 use cases, gather requirements, establish success criteria, and deliver an intuitive, high-quality UX.
- Lead high-impact initiatives across Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.
- Mentor and accelerate the work of junior developers; foster collaboration and pair-programming culture.
- Collaborate with Cybersecurity, Infrastructure, Data Engineering, Office 365 to go through approvals, architecture, security & governance reviews.
- Lead end-to-end delivery when assigned to an opportunity; serve as product owner to define and maintain a phased roadmap with user feedback, backlog prioritization, and release planning.
- Lead software development from design through deployment; communicate progress to non-technical but key stakeholders on a proactive basis.
- Address technical debt for existing codebases and build scalable, reusable architectures that are well documented and compliant with security and governance standards.
- Manage the full lifecycle of deployed applications including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.
What We're Looking For
- 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, including embeddings, Retrieval-Augmented Generation (RAG) techniques, and a variety of search architectures (hybrid, agentic, vector, full-text)
- Demonstrated experience developing, deploying, evaluating GenAI solutions, with evals and ability to optimize the cost-to-performance ratio
- Strong proficiency with Pydantic models
- Excellent English communication skills; translate user needs into technical specs and regularly communicate progress to a wide range of technical & non-technical stakeholders
Nice to Have
- 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, including automated testing, deployment, and secure, reproducible releases
- Demonstrated 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