AI Python Engineer

Reposted 5 Hours Ago
Be an Early Applicant
Paso, Rioverde, San Luis Potosí, MEX
In-Office
Mid level
Fintech • HR Tech • Insurance • Consulting
The Role
Build and maintain Python-based ETL and data pipeline components, integrate AI agents and LLM orchestration for document extraction, support Databricks/Azure integrations, debug and test AI outputs, and improve pipeline reliability and scalability while collaborating with stakeholders.
Summary Generated by Built In
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 DatabricksAzurePostgreSQLMongoDB, or MLflow
  • Experience building or supporting AI-enabled applications or workflow automation systems
  • Familiarity with document processing, data pipelines, or production-grade automation
  • A proactive mindset and interest in continuous learning

Why join our team:

  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Skills Required

  • Approximately 3 years of professional software development experience
  • Strong proficiency in Python
  • Familiarity with AI tools, agents, and modern AI application workflows
  • Ability to work independently, learn quickly, and take initiative
  • Strong English communication skills, written and verbal
  • Bachelor's degree in Computer Science, Software Engineering, IT, AI, Data Science, or related field
  • 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
  • Proactive mindset and interest in continuous learning

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

Marsh McLennan Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

Similar Jobs

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Sr. Sales Associate II

eCommerce • Fashion • Retail • Sales • Wearables • Design
Remote or Hybrid
14 Locations
16000 Employees
15-20 Hourly

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Sr. Sales Associate III

eCommerce • Fashion • Retail • Sales • Wearables • Design
Remote or Hybrid
14 Locations
16000 Employees
15-20 Hourly

Samsara Logo Samsara

Mexico Major AE

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
México
4000 Employees
500K-500K Annually

CrowdStrike Logo CrowdStrike

Technical Support

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
México
11000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account