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%).

• Design and build scalable, high‑performance web applications using React and modern Java Script
• 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

• 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

• 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)

• MySQL
• Graph Databases
• Distributed data platforms

• 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 Cloud Watch, Prometheus, Grafana
• Manage access and security using IAM

• Ensure code quality using Jest and Py Test
• Follow best practices in Git‑based version control and CI/CD
• Collaborate with cross‑functional teams across product, data, and engineering

• Strong experience in React and Java Script
• Backend development experience with PHP/Hack and Python (C++ is a plus)
• Experience designing Graph
  
  QL 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, Cloud Watch)

• 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

• 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

• Batchelor degree