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 secure 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 i
📌 Data Scientist (Bengaluru)
🏢 CME Group
📍 Bengaluru
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