> Markdown version of [/jobs/ext/4182675-ai-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/4182675-ai-full-stack-developer). 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 Developer - **Company:** CGI Group - **Location:** Arlington, VA, United States - **Salary:** $113,400.0 - $245,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Cloud Computing, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, OpenAI, Azure Machine Learning, Software Engineering, SQL Databases, Systems Integration, Web Application Frameworks, Web Services, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Backend, Git, Vue.js, Data Layers, AngularJS, Api Design, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5404030c44abbe3f ## About the Role Bachelor's degree in a related field (or equivalent experience). 16 years of experience in software development, full stack engineering, or a related field. Hands on experience building full stack applications (front end and back end). Experience applying AI/ML or generative AI in applications (e.g., integrating LLMs, AI APIs, or ML models). Proficiency in Python and SQL. Experience with a modern front end framework (e.g., React, Angular, or Vue) and back end/API development. Familiarity with Git and CI/CD fundamentals. Strong problem solving and communication skills Desired qualifications/non essential skills required: Experience with AI/ML services from cloud providers (e.g., Azure OpenAI, AWS Bedrock/SageMaker). Cloud experience (AWS/Azure/GCP). Experience with API integration (REST) and building data pipelines/data models. Familiarity with prompt engineering, RAG (retrieval augmented generation), or vector databases. Familiarity with governance, security, and responsible AI concepts in regulated environments. Relevant certifications are a plus., * Artificial Intelligence * Back End Development * Back End Development * English * Innovation and creativity * Natural Language Processing * Agile ## Description Design, develop, test, and deploy full stack applications across the front end, back end, and data layers. Integrate AI and machine learning capabilities into applications, including LLM based features, generative AI, and intelligent automation. Build and consume APIs and services to connect applications with AI models, data sources, and external systems. Develop and optimize data pipelines and workflows that feed AI/ML features and application functionality. Collaborate with stakeholders to define requirements and translate them into technical designs and working software. Troubleshoot, optimize, and monitor application performance, reliability, and data quality. Participate in code reviews, document solutions, and follow engineering and responsible AI best practices.