Senior Developer - AI Development

LSEG•New York, NY

7d•$113,900 - $189,900

About The Position

LSEG Data & Analytics is one of the world’s largest providers of financial markets data and infrastructure. With over 40,000 customers and 400,000 end users across more than 170 countries, we are an essential partner to the global financial community and redefining the future of data in financial services. We enable customers to draw crucial insights through data, feeds, analytics, AI and workflow solutions. 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.

Requirements

Strong technical expertise to build scalable systems
Full stack engineering skills
Applied AI capabilities
Working knowledge of AI/ML concepts, models, and pipelines
Experience with modern frameworks
Experience with cloud platforms (Azure/AWS)
Experience with containerized environments
Strong communication skills
Ability to present technical solutions to both technical and non-technical audiences
Ability to clearly articulate complex concepts, insights, and recommendations

Nice To Haves

Experience with MCP (Model Context Protocol) creation and integration

Responsibilities

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.
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.
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.
Contribute ideas for innovation and continuous improvement in AI capabilities.
Collaborate across engineering, product, and business teams.
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.