Senior AI Engineer

8 days ago

Mexico City, Mexico or Monterrey, MexicoSenior

Responsibilities

Identify, design, and integrate Generative AI solutions into existing business workflows.
Design, architect, implement, and productionize traditional software applications, GenAI agents, and multi-agent systems.
Gather stakeholder requirements, establish success criteria, and deliver intuitive, high-quality user experiences.
Lead high-impact initiatives and end-to-end software delivery across multiple business functions.
Serve as product owner by maintaining roadmaps, prioritizing backlogs, incorporating user feedback, and planning releases.
Lead software development from design through deployment and manage the full lifecycle of deployed applications.
Address technical debt and build scalable, reusable, documented architectures that meet security and compliance standards.
Communicate progress to technical and non-technical stakeholders and collaborate with Cybersecurity, Infrastructure, Data Engineering, and Office 365 teams.
Mentor junior developers and foster collaboration and pair-programming practices.

Bachelor’s 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 experience designing, coding in Python, and deploying complex GenAI and multi-agent systems in production.
At least 2 years of UI and frontend development experience with React.js, TypeScript, and HTML.
Hands-on experience with GenAI architectures, embeddings, advanced RAG, hybrid search, agentic search, vector search, and full-text search.
Experience developing, deploying, and evaluating GenAI solutions using evaluation frameworks and optimizing production AI cost-to-performance.
Strong proficiency with Pydantic models for robust 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: PyTorch experience, AI model performance optimization, Azure-based CI/CD pipelines, AI and machine learning knowledge, GitHub portfolio, machine learning model integration, Azure Kubernetes experience, and knowledge graph experience.

Position based at the Plaza Carso Offices in Mexico City; remote work may be considered for the right candidate.
Requires accommodation of Eastern Time Zone working hours and an onsite final interview stage in the United States.
Chemours describes an employee-focused culture emphasizing talent development, engagement, inclusion, sustainability, and equal opportunity.

1,001-5,000 employees