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# Senior Developer - AI Development

- **Company:** London Stock Exchange Group
- **Location:** United States
- **Experience:** Expert
- **Salary:** $113,900.0 - $189,900.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Machine Learning, Web Application Frameworks, Backend, Data Layers, Containerization, Front End Software Development, Virtual Agents
- **Published:** September 7, 2026
- **Apply:** https://www.dice.com/job-detail/dcd83705-6213-472f-ae62-df5dacc60c5a

## About the Role

We are seeking a highly skilled and experienced Full Stack Developer with AI Expertise to design, develop, and contribute to end-to-end solutions that combine robust full stack engineering with applied AI capabilities. The ideal candidate will bring strong technical expertise to build scalable systems and deliver value across the organization.

## Description

1. Full Stack Development
 * Develop and integrate solutions across the full stack (frontend, backend, APIs, and data layers).
 * Build user-facing dashboards, interfaces, and APIs, including those powering AI-driven applications.
 * Ensure high performance, security, and scalability of applications.
 * Work with modern frameworks, cloud platforms (Azure/AWS), and containerized environments.

 2. AI Knowledge & Hands-On Application
 * Apply working knowledge of AI/ML concepts, models, and pipelines to support development efforts.
 * Build and experiment with AI/ML components, integrating them into existing systems and workflows.
 * Stay current with AI tools, frameworks, and techniques, and apply them practically to solve real problems.
 * Follow best practices in model usage, testing, and deployment to ensure reliable outcomes.

 3. MCP (Model Context Protocol) Creation
 * Build and configure MCP tools to extend AI capabilities within applications.
 * Integrate MCP tools with existing systems and workflows as part of the development process.

 4. Innovation & Collaboration
 * Contribute ideas for innovation and continuous improvement in AI capabilities.
 * Collaborate across engineering, product, and business teams.

 5. Communication & Documentation
 * Demonstrate strong communication skills to present technical solutions to both technical and non-technical audiences.
 * Clearly articulate complex concepts, insights, and recommendations.
 * Prepare technical documentation, proof of concept, and reports.


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