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Chemours

Produces titanium dioxide, refrigerants, and Teflon

Senior AI Applications Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • A degree in Computer Science or Computer Engineering is required.
  • At least 8 years of advanced backend development experience with Python and JavaScript is required.
  • At least 2 years of experience designing, coding in Python, and deploying custom, complex generative AI solutions and multi-agent generative AI systems in production; experience limited to simple recommender systems or chatbots does not meet this requirement.
  • At least 2 years of user-interface and frontend development experience with React.js, TypeScript, and HTML is required.
  • Hands-on experience designing and building generative AI architectures and multi-agent systems, including embeddings, advanced retrieval-augmented generation techniques, and search architectures such as hybrid, agentic, vector, and full-text search, is required.
  • Experience developing, deploying, and evaluating generative AI solutions, understanding evaluation frameworks, and optimizing the cost-to-performance ratio of production AI applications is required.
  • Strong proficiency with Pydantic models, including using them to design robust, scalable, and maintainable generative AI architectures and workflows, is required.
  • Excellent English communication skills, particularly with non-technical users, and the ability to translate user needs into technical specifications and communicate progress to technical and non-technical stakeholders are required.
  • Candidates must possess a valid U.S. visa because the final stage of the interview process takes place onsite in the United States.

Responsibilities

  • Identify, design, and integrate generative AI solutions into existing business workflows to deliver measurable value.
  • Design, architect, implement, and productionize traditional software applications and generative AI agents.
  • Partner with users and stakeholders to scope use cases, gather requirements, establish success criteria, and deliver an intuitive, high-quality user experience.
  • Lead high-impact initiatives across Manufacturing, Legal, Finance, Research and Development, Supply Chain, Procurement, and Sales.
  • Mentor junior developers, help accelerate their work, and foster collaboration and pair programming.
  • Collaborate with Cybersecurity, Infrastructure, Data Engineering, and Office 365 teams to complete approvals and architecture, security, and governance reviews.
  • Lead end-to-end delivery when assigned to an opportunity.
  • Serve as product owner by defining and maintaining a phased roadmap, incorporating continuous user feedback, prioritizing the backlog, and making release-planning recommendations.
  • Lead software development from design through deployment.
  • Communicate progress proactively and regularly to non-technical stakeholders.
  • Address technical debt in existing codebases and build scalable, reusable, well-documented architectures that conform to security and compliance standards.
  • Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement based on user feedback and evolving technology.

Desired Qualifications

  • Experience with PyTorch and iterating on model performance using task-specific data and empirical evaluation.
  • Experience building and operating continuous integration and continuous delivery 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 artificial intelligence and machine learning, and ability to translate new research, models, and techniques into practical, production-ready solutions; a GitHub portfolio is welcomed.
  • Experience integrating machine learning models into custom applications.
  • Experience with Azure Kubernetes.
  • Experience designing, creating, and applying knowledge graphs to strengthen custom generative AI solutions.

About the Company

Chemours

Produces titanium dioxide, refrigerants, and Teflon

Chemours is a chemical company formed in 2015 as a spin-off from DuPont. It focuses on producing titanium dioxide pigments, refrigerants, and the Teflon brand, along with other specialty chemicals. Its products work by delivering white pigment for paints, coatings, and plastics (titanium dioxide), providing refrigerant chemicals used in heating and cooling systems, and offering Teflon-brand materials known for their nonstick and low-frriction properties. Chemours differentiates itself from competitors through its status as an independent, focused chemical company with a clear emphasis on sustainable solutions and specialized product lines, enabled by an IPO that gave it financial independence and agility. Its goal is to lead in its core chemical markets by delivering value through chemistry—developing reliable, durable products and sustainable innovations for customers and industries.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Wilmington, NC
Founded
2014

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