AI Engineer

About this role

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 bu...