AI Full Stack Engineer
Job Location:
Monthly Salary:
Posted on:
7 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position: AI Full Stack Engineer
Work Location: Plano TX
Duration: Fulltime/Direct Hire
Work Location: Plano TX
Duration: Fulltime/Direct Hire
Job Description:
Design and build scalable high-performance web applications using React and modern JavaScript.
Develop backend services using PHP/Hack Python and C.
Design and consume GraphQL APIs.
Build robust application architecture and reusable software components.
Optimize application performance scalability and reliability.
Implement caching strategies using Redis.
Integrate AI/LLM-based solutions into applications including agent-based workflows and automation.
Work with modern AI frameworks and APIs such as Claude LLaMA or similar LLM technologies.
Develop intelligent features such as recommendation engines automation workflows and decision support systems.
Build and maintain ETL/ELT pipelines for large-scale data processing.
Process and analyze large datasets using Python SQL and Spark/distributed systems.
Design and manage databases including MySQL Graph Databases and distributed data platforms.
Work with AWS cloud services including S3 storage solutions.
Deploy and manage applications using Docker and Kubernetes.
Implement monitoring and observability using CloudWatch Prometheus and Grafana.
Manage cloud security and access controls using AWS IAM.
Ensure code quality using Jest and PyTest frameworks.
Follow best practices for Git-based version control and CI/CD pipelines.
Collaborate with cross-functional teams across Product Data Engineering AI and Software Engineering.
Develop backend services using PHP/Hack Python and C.
Design and consume GraphQL APIs.
Build robust application architecture and reusable software components.
Optimize application performance scalability and reliability.
Implement caching strategies using Redis.
Integrate AI/LLM-based solutions into applications including agent-based workflows and automation.
Work with modern AI frameworks and APIs such as Claude LLaMA or similar LLM technologies.
Develop intelligent features such as recommendation engines automation workflows and decision support systems.
Build and maintain ETL/ELT pipelines for large-scale data processing.
Process and analyze large datasets using Python SQL and Spark/distributed systems.
Design and manage databases including MySQL Graph Databases and distributed data platforms.
Work with AWS cloud services including S3 storage solutions.
Deploy and manage applications using Docker and Kubernetes.
Implement monitoring and observability using CloudWatch Prometheus and Grafana.
Manage cloud security and access controls using AWS IAM.
Ensure code quality using Jest and PyTest frameworks.
Follow best practices for Git-based version control and CI/CD pipelines.
Collaborate with cross-functional teams across Product Data Engineering AI and Software Engineering.
Required Skills:
Strong experience with React and JavaScript.
Backend development experience with PHP/Hack and Python (C preferred).
Experience designing and implementing GraphQL APIs.
Strong understanding of system design and distributed systems.
Strong SQL and data pipeline development experience.
Hands-on experience with AWS Docker and Kubernetes.
Experience with monitoring tools such as Prometheus Grafana and CloudWatch.
Experience building scalable production-grade applications.
Backend development experience with PHP/Hack and Python (C preferred).
Experience designing and implementing GraphQL APIs.
Strong understanding of system design and distributed systems.
Strong SQL and data pipeline development experience.
Hands-on experience with AWS Docker and Kubernetes.
Experience with monitoring tools such as Prometheus Grafana and CloudWatch.
Experience building scalable production-grade applications.
Preferred Skills:
Experience integrating AI/LLM solutions into enterprise applications.
Familiarity with Spark and big data ecosystems.
Experience with Graph Databases and real-time data processing.
Experience working on data-intensive and high-scale platforms.
Familiarity with Spark and big data ecosystems.
Experience with Graph Databases and real-time data processing.
Experience working on data-intensive and high-scale platforms.
Qualification:
Bachelors degree in computer science Software Engineering Information Technology or related field.
Strong Full Stack Engineering background with backend development expertise.
Experience working with AI-enabled applications and data engineering workflows.
Strong problem-solving communication and collaboration skills.
Strong Full Stack Engineering background with backend development expertise.
Experience working with AI-enabled applications and data engineering workflows.
Strong problem-solving communication and collaboration skills.
