Design, develop, and deploy multi-agent Retrieval-Augmented Generation (RAG) systems in cloud environments.
- Collaborate cross-functionally with data scientists, product teams, and business stakeholders to translate needs into technical solutions.
- Tune and optimize LLM-based tools and workflows for internal productivity and insight generation.
- Ensure robust monitoring, testing, and CI/CD practices are applied across the data and AI stack.
**Preferred Qualifications**
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4-6 years of hands-on experience in data engineering, with a strong foundation in AI/ML pipelines.
- Proven success in building and deploying LLM-powered solutions in production environments.
- Experience designing and developing agentic and RAG architectures in the cloud.




- Proficiency in **Python**and familiarity with AI/ML frameworks (e.g., LangChain, Hugging Face, TensorFlow, PyTorch).
- Experience with **Google Cloud Platform (GCP)**services such as **Vertex AI**, **Gemini**, and **BigQuery**is a strong plus.
- Skilled in managing AI model lifecycle, from experimentation to monitoring in production.
- Solid grasp of CI/CD pipelines and automated monitoring for data/ML systems.
- Strong analytical mindset and excellent problem-solving skills.
- Excellent communication and teamwork capabilities, with the ability to thrive in a fast-paced, collaborative environment.

📌 Senior Data Engineer - Ai/llm Applications (México)
🏢 Sailpoint
📍 México