We are looking for a Full Stack AI Engineer to join our Global Front Engineering team to build next generation of tools and products. All of our team members are strategic thinkers and conceptual problem solvers who make every decision an informed one. We value hard work, accountability and collaboration and look for proven skills over big egos. Our team excels in working together and recognizing individual strengths and values each contributor as a key factor in successfully delivering a project. If you understand “Yes, and” over No, this is the team for you.

In this role, you will play a crucial part in developing, deploying, and optimizing AI-powered tools for code/prototype generation using modern LLMs and associated technologies. You will build and maintain robust backend systems using Python and FastAPI, ensuring scalability, security, and performance for enterprise-level GenAI applications. Additionally, you will leverage advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Collaborating with cross-functional teams, you will need to stay updated with the latest advancements in the generative AI space to integrate best practices and innovative solutions into our projects.

Role responsibilities:

Build high-performance complex AI systems using generative AI-based tools and stacks for rapid code/prototype generation.
Design, develop, and maintain robust backend systems using Python and FastAPI.
Leverage your solid understanding of Large Language Models (LLMs), AI agents, and orchestration frameworks (e.g., LangGraph) to enhance our AI capabilities.
Apply prompt optimization strategies and techniques to improve AI model outputs.
Utilize techniques such as prompt engineering, retrieval-augmented generation (RAG), and embedding techniques to develop innovative AI solutions.
Build evaluation frameworks to measure model performance and ensure quality for production use
Design and manage efficient database systems for storing and retrieving data.
Use containerization technologies like Docker and Kubernetes to deploy and manage applications.
Stay up-to-date with the current engineering landscape in the generative AI space and integrate best practices into our solutions.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.