Company:
Marsh

Description:

AI Python Engineer

We are seeking an AI Python Engineer to join our team at Marsh. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As an AI Python Engineer, you will demonstrate strong ownership, and is eager to grow within a fast-moving, AI-driven environment.

Key responsibilities
- Contribute to the development and maintenance of Python-based pipeline components
- Work with AI tools, agents, and skills to support automated document extraction and workflow orchestration
- Help improve ingestion, parsing, validation, and processing logic across the pipeline
- Support integrations with external systems and services, including Databricks, GitHub, Azure, PostgreSQL, MongoDB, Copilot and document repositories
- Assist in debugging, testing, and evaluating AI-assisted outputs
- Contribute to the reliability, maintainability, and scalability of the platform
- Proactively learn the business domain, technical stack, and evolving AI tooling




- Communicate effectively in English with technical and non-technical stakeholders

Required qualifications
- Around 3 years of professional software development experience
- Strong proficiency in Python
- Familiarity with AI tools, agents, and modern AI application workflows
- Demonstrated ability to work independently, learn quickly, and take initiative
- Strong English communication skills, both written and verbal
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related field preferred

Preferred qualifications
- Experience with LLM orchestration frameworks such as LangChain or LangGraph
- Exposure to Databricks, Azure, PostgreSQL, MongoDB, or MLflow
- Experience building or supporting AI-enabled applications or workflow automation systems
- Familiarity with document processing, data pipelines, or production-grade automation
- A proact

📌 AI Python Engineer (Ciudad de México)
🏢 Marsh Mclennan
📍 Ciudad de México