Senior AI Engineer
The Chemours Company24 days ago
Mexico City, Mexico or Monterrey, MexicoSenior
Responsibilities
- Identify, design, integrate, and productionize Generative AI solutions, traditional software applications, and multi-agent GenAI systems.
- Partner with users and stakeholders to define use cases, gather requirements, establish success criteria, and deliver intuitive user experiences.
- Lead high-impact initiatives across Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.
- Serve as product owner by maintaining phased roadmaps, prioritizing backlogs, incorporating user feedback, and planning releases.
- Lead software development from design through deployment and manage the lifecycle of deployed applications, including debugging, upgrades, enhancements, and continuous improvement.
- Design scalable, reusable, documented architectures that address technical debt and meet security and compliance standards.
- Mentor junior developers and promote collaboration, pair programming, and teamwork.
- Coordinate with Cybersecurity, Infrastructure, Data Engineering, and Office 365 teams on approvals, architecture, security, and governance reviews.
- Communicate progress regularly to technical and nontechnical stakeholders.
Requirements
- Degree in Computer Science or Computer Engineering.
- At least 8 years of advanced backend development experience with Python and JavaScript.
- At least 2 years of designing, coding in Python, and deploying complex GenAI and multi-agent GenAI systems in production.
- At least 2 years of UI and frontend development experience with React.js, TypeScript, and HTML.
- Strong hands-on experience with GenAI architectures, multi-agent systems, embeddings, advanced RAG, hybrid search, agentic search, vector search, and full-text search.
- Experience developing, deploying, and evaluating GenAI solutions, including use of evaluation frameworks and production cost-to-performance optimization.
- Strong proficiency with Pydantic models for robust, scalable, and maintainable GenAI architectures and workflows.
- Excellent English communication skills and the ability to translate user needs into technical specifications.
- Valid US visa required because the final interview stage takes place onsite in the United States.
- Preferred: experience with PyTorch, Azure-based CI/CD pipelines, automated testing and deployment, Azure Kubernetes, machine learning model integration, and knowledge graph development.
- Preferred: ability to apply current AI and machine learning research, models, and techniques to practical production solutions.
Benefits
- Located at the Plaza Carso Offices in Mexico City, with remote work potentially considered for the right candidate.
- The role requires accommodation of Eastern Time Zone working hours.
- Chemours promotes talent development, employee engagement, inclusion, sustainability, and equal employment opportunity.
Tech Stack
Categories
About The Chemours Company
Chemours is a publicly traded chemical manufacturer supplying fluoroproducts, titanium dioxide pigments, and specialty materials to automotive, electronics, refrigeration, coatings, and industrial customers. Its portfolio includes brands such as Teflon, Ti-Pure, Freon/Opteon, Viton, Krytox, and Nafion across three businesses: Thermal & Specialized Solutions, Titanium Technologies, and Advanced Performance Materials. Founded in 2015 via a spin-off from DuPont, Chemours is headquartered in Wilmington, Delaware and listed on the NYSE.