> Markdown version of [/jobs/ext/497994-ai-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/497994-ai-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Full Stack Engineer - **Company:** L&T Technology Services - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Applications Architecture, Application Integration Architecture, Big Data, C++ (Programming Language), Cloud Computing, Cloud Storage, Software Quality, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Distributed Data Store, Distributed Systems, Graph Database, Monitoring of Systems, Identity and Access Management, Python (Programming Language), MySQL, Redis, Prometheus, Standard Sql, Data Storage Management, ReactJS, Large Language Models, Grafana, Apache Spark, Caching, Backend, Git, Build Management, Pytest, Containerization, Kubernetes, Performance Monitor, Graphql, Front End Software Development, Cloudwatch, Stream Processing, Software Version Control, Data Pipelines, Docker - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d5c4b06a84a76fe1 ## About the Role Do you have experience in System performance monitoring?, Do you have a Bachelor's degree?, * 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, * 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, * 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 ## Description 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 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 ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Coding for Good: Achieving social change with an app](https://www.wearedevelopers.com/videos/1645-coding-for-good-achieving-social-change-with-an-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)