Senior AI Engineer

The Chemours Company

Senior AI Engineer at Chemours designing and integrating Generative AI solutions in various business functions. Collaborating across teams to deliver impactful projects while mentoring junior developers.

Posted 7/3/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $126,067 - $196,980 per yearWebsite

Tech Stack

Tools & technologies

Cyber SecurityJavaScriptPythonReactTypeScript

About the role

Key responsibilities & impact

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.
Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.

Requirements

What you’ll need

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, 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.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonJavascriptReact.jsTypescriptHTMLGenAI ArchitecturesRetrieval-Augmented Generation (RAG)Pydantic ModelsMulti-Agent SystemsHybrid Search Techniques

Soft Skills

Excellent Communication SkillsMentoringCollaborationTeamworkUser Needs Translation

Certifications

Degree in Computer ScienceDegree in Computer Engineering