AI Full Stack Engineer

LTTS Dell Offsite Centre Plano, Texas Job Description Job Description & Skill Requirement:

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 Design and manage data systems using: MySQL Graph Databases Distributed data platforms 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: 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

Job Requirement Job Description & Skill Requirement:

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 Design and manage data systems using: MySQL Graph Databases Distributed data platforms 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: 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