[Remote] Senior AI Engineer

Note: The job is a remote job and is open to candidates in USA. The Chemours Company is a leader in chemistry, seeking a Senior AI Engineer to join their AI & Data Science team. The role focuses on identifying and integrating Generative AI solutions across various business functions, while mentoring junior developers and collaborating with stakeholders to ensure successful implementation.

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 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

Skills

• 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
• 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

Company Overview