About the Role
We are looking for an AI Engineer with a strong background in backend software engineering, cloud environments, and MLOps. This role is focused on the engineering side: building, integrating, and deploying generative AI systems.
This is a entry level position. You will work alongside our senior engineers and architects to turn AI prototypes into reliable, production grade cloud applications. If you have solid software development skills, a DevOps mindset, and want to learn how to build scalable agentic workflows and optimize LLM systems on GCP, we would love to meet you.
What You Will Do
- Build AI Applications: Help write, test, and deploy production ready GenAI applications. You will play a key role in taking prototypes and agentic workflows and turning them into stable enterprise services.
- Integrate GenAI Workflows: Build and maintain backend pipelines for generative AI under the guidance of senior team members. This includes working on Retrieval-Augmented Generation (RAG) systems, multi-agent frameworks, and semantic search.
- Support MLOps Pipelines: Help build and maintain CI/CD pipelines for ML models and LLM applications. You will set up basic logging, tracing, and monitoring tools to make sure our production models are healthy and performing well.
- Optimize Inference and Performance: Help scale and optimize model inference on Google Cloud Platform (GCP) to keep latency low, control cloud costs, and handle high throughput.
- Manage Data and Feature Pipelines: Develop and maintain data processing setups, including clean data pipelines and embedding pipelines that connect to vector databases and GCP data tools.
- Use Modern Developer Tools: Actively use AI coding assistants like GitHub Copilot or Cursor to write clean code, speed up your development cycle, and build thorough automated testing suites.
- Collaborate Across Teams: Partner with our internal math experts, senior MLOps architects, and business stakeholders to translate business ideas into practical, working software features.
What We Are Looking For
- Strong Software Fundamentals: Solid experience with Python and clean backend software engineering practices (such as object-oriented design, writing APIs, and working with microservices).
- Cloud and DevOps Basics: Hands-on experience with GCP (such as Cloud Run, GKE/Kubernetes, and BigQuery) or equivalent cloud providers. You should be comfortable with Git, CI/CD pipelines, and the basics of infrastructure as code.
- Experience with GenAI Tools: Practical exposure (through work, school, or personal projects) to working with foundation model APIs like Gemini, OpenAI, or Anthropic. Familiarity with frameworks like LangChain, LlamaIndex, or the Google ADK is a big plus.
- Data and Databases: Experience with standard database technologies, and a strong interest in learning how to work with vector databases like BigQuery Vector Search.
- An Observability Mindset: A basic understanding of how to monitor applications, log performance, and track operational metrics in production.
- Strong Desire to Learn Financial Markets: You do not need to be a financial expert on day one, but you should have a strong analytical mind and a genuine interest in learning how commodity and financial derivative markets work.
CME Group: Where Futures are Made
CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
Skills Required
- Fluent in Python
- Pandas
- SQL
- Traditional machine learning (modeling, evaluation)
- Hands-on experience with foundation models (OpenAI, Anthropic, Gemini, Llama or open-source alternatives)
- Prompt engineering, fine-tuning, and framework ecosystems (e.g., LangChain, Google ADK)
- Vector databases and embedding pipelines (e.g., BigQuery Vector Search)
- Model quantization, caching strategies, and deploying models for efficient inference
- Cloud computing experience
- Experience with GCP including Vertex AI and BigQuery
- Git, CI/CD pipelines, and Linux environments
- Visualization using Looker, Tableau, or advanced Python visualization libraries
- Familiarity leveraging AI coding assistants (GitHub Copilot, Cursor)
- Understanding of commodity and financial derivative markets
CME Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CME Group and has not been reviewed or approved by CME Group.
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Retirement Support — U.S. offerings include both a 401(k) and a company-funded cash-balance pension, strengthening long-term financial security. This dual-track structure is highlighted as a notable differentiator among private employers.
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Leave & Time Off Breadth — PTO and holiday schedules are described as generous, with ample time off and carryover commonly highlighted. This breadth of leave meaningfully enhances perceived total rewards.
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Flexible Benefits — A flexible, hybrid work model applies to many roles, increasing day-to-day usability of the package. Flexibility is framed as a standard feature rather than an exception.
CME Group Insights
What We Do
As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.
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