AI Full Stack Engineer

Overview We are seeking a Senior Full Stack Engineer with strong backend and frontend expertise, complemented by exposure to AI‑driven systems and data engineering. This role is primarily full stack (~60%) with additional responsibilities in AI integration (~20%) and data engineering (~20%). Key Responsibilities Full Stack Development (Primary Focus – ~60%) Design and build scalable, high‑performance web applications using React and modern JavaScript Develop backend services using Hack, PHP, Python, and C++ Build and consume APIs using GraphQL Design robust application architecture and reusable components Optimize performance, scalability, and reliability of applications Implement caching strategies using Redis AI & Intelligent Systems (~20%) Integrate AI/LLM‑based solutions into applications (agent‑based workflows, automation) Work with modern AI frameworks and APIs (e.g., LLM agents such as Claude, LLaMA or similar) Build intelligent features such as recommendations, automation workflows, or decision systems Collaborate on evolving AI‑driven capabilities within products Data Engineering & Processing (~20%) Develop and maintain ETL/ELT pipelines Work with large‑scale datasets using Python and SQL Process and analyze data using Spark or distributed systems Manage and optimize storage systems (data warehouses, time‑series DBs) Database & Storage MySQL Graph Databases Distributed data platforms Cloud, Infra & Observability Work with cloud storage solutions such as AWS S3 Deploy and manage applications in AWS environments Use Docker and Kubernetes for containerization and orchestration Implement monitoring and observability using CloudWatch, Prometheus, Grafana Manage access and security using IAM Quality & Engineering Practices Ensure code quality using Jest and PyTest Follow best practices in Git‑based version control and CI/CD Collaborate with cross‑functional teams across product, data, and engineering Required Skills Strong experience in React and JavaScript Backend development experience with PHP/Hack and Python (C++ is a plus) Experience designing GraphQL APIs Solid understanding of system design and distributed systems Strong SQL and working knowledge of data pipelines Hands‑on experience with AWS, Docker, Kubernetes Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Preferred Skills Experience integrating AI/LLM solutions into applications Familiarity with Spark or big data ecosystems Exposure to Graph DBs and real‑time data processing Experience in data‑intensive or high‑scale platforms Ideal Candidate Profile Primarily a strong Full Stack Engineer with backend depth Has practical exposure to AI integrations (not purely research‑focused) Comfortable handling data workflows and large datasets Proven ability to build scalable, production‑grade systems Strong ownership and ability to work in fast‑paced environments Qualification Batchelor degree #J-18808-Ljbffr