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