AI Fullstack Developer

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 (approximately 60%), with additional responsibilities in AI integration (approximately 20%) and data engineering (approximately 20%). Key Responsibilities Full Stack Development (Primary Focus - approx. 60%) 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) Database & Storage Design and manage data systems using Work with cloud storage solutions such as AWS S3 Cloud, Infra & Observability Deploy and manage applications in AWS environments Use Docker and Kubernetes for containerization and orchestration Implement monitoring and observability using 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 Backend development experience with PHP/Hack and Python (C++ is a plus) 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 #J-18808-Ljbffr