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.

You'll 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. As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable code efficiently will be valuable as our team grows.

Successful candidates will be able to thrive in a fast paced, ambiguous environment with a continuous learning mindset. Role will also require heavy stakeholder/end-user engagement throughout the scoping & build process.

Must be able to work US eastern time zone working hours, typically 7:30am - 5pm.

The responsibilities of the position include, but are not limited to, the following:

• 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 thru approvals, architecture, security & governance reviews.
• When assigned to an opportunity, you will lead end-to-end delivery.
• You will serve as product owner to define and maintain a phased roadmap, incorporating continuous user feedback, backlog prioritization, and release planning into your recommendations.
• Lead software development from design through deployment.
• Communicate progress to non-technical but key stakeholders on a proactive & regular basis.
• For existing codebases, 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.

The following is required for this role:

• 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. We need to see evidence beyond building simple recommender systems or chatbots.
• 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, advanced Retrieval-Augmented Generation (RAG) techniques, and a variety of search architectures. Candidates should be able to clearly articulate solutions they have built using hybrid search, agentic search, vector search, and full-text search architectures.
• Demonstrated experience developing, deploying, and evaluating GenAI solutions, with a strong understanding of evaluation frameworks (evals) and a proven ability to optimize the cost-to-performance ratio of production AI applications.
• Strong proficiency with Pydantic models, including knowing when and how to leverage them to design robust, scalable, and maintainable GenAI architectures and workflows.
• 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.

The following is preferred for this role:

• 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 (we'd love to see your Github portfolio!)
• 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

Pay Range (in local currency):
$126,067.00 - $196,980.00

Chemours Level:
27

Annual Bonus Target:
14%

The pay range and incentives listed above is a general guideline based on the primary location of this job only and not a guarantee of total compensation. Factors considered in extending a compensation offer include (but are not limited to) responsibilities of the job, experience, knowledge, skills, and abilities, as well as internal equity, and alignment with market data. The incentive pay is dependent on business results and individual performance and subject to the terms and conditions of the specific plans.

At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry."