Senior AI Engineer
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Job Description
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.
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.
- Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.
Requirements:
- 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:
- 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
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