Senior Staff AI Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Staff AI Engineer (Generative AI): Leading the design, development, and delivery of AI solutions using Machine Learning and Generative AI with an accent on production-grade AI/ML systems and agentic AI patterns. Focus on building RAG pipelines, prompt engineering, and overseeing high-quality engineering practices through code reviews and technical leadership.
Location: Mexico City, Mexico (Service Region: Mexico)
Company
A global Digital Product Engineering company with over 18,000 experts across 36 countries, specializing in scalable digital products and services.
What you will do
- Design and build scalable AI/ML solutions using Deep Learning and Large Language Models (LLMs).
- Lead code reviews and enforce engineering best practices to ensure system maintainability and performance.
- Implement Generative AI use cases, including RAG pipelines, prompt engineering, and agentic workflows.
- Deliver AI solutions across various business domains including marketing, supply chain, and retail.
- Mentor junior team members and provide technical guidance on solution architecture.
- Collaborate with Data Engineers and DevOps to integrate AI models into production systems.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- 8–9.5 years of experience in AI/ML development and delivery.
- Proven experience in building and deploying production-grade AI/ML solutions.
- Expert proficiency in Python and SQL.
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
- Hands-on experience with LLMs (GPT, Claude, Llama, Gemini) and Vector Databases.
Nice to have
- Exposure to agentic frameworks such as LangGraph, CrewAI, or AutoGen.
- Experience with GCP (preferred) or other major cloud platforms.
- Familiarity with MLOps tools like MLflow or Vertex AI.
Culture & Benefits
- Dynamic and non-hierarchical work culture.
- Opportunity to work within a rapidly scaling digital engineering environment.
- Access to a massive global network of technical experts.
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