Senior AI-Driven Full-Stack Engineer

London Stock Exchange Group; New York (NY); On-site; USD 114,000 - 190,000; Full time

Benefits offered by this job

Annual Wellness Allowance

Paid time-off

Medical

Dental

Vision

Flex Spending & Health Savings Options

Prescription Drug plan

401(K) Savings Plan and Company match

Life Insurance

Disability Benefits

Dependent Care/Backup Care

Adoption Assistance

Commuter Assistance

Job summary

London Stock Exchange Group (LSEG) Data & Analytics in New York is seeking a Senior Associate Full Stack Developer with AI expertise to design and deliver end-to-end solutions.

You will develop across the full stack—frontend, backend, APIs and data layers—building AI-enabled dashboards and scalable, secure applications.

Collaborate with engineering, product and business teams to apply AI pipelines, MCP tools, and best practices in deployment and documentation.

Qualifications

• Experience building scalable full-stack applications.
• Hands-on AI/ML model integration into workflows.
• Familiarity with cloud and containerized environments.

Responsibilities

• Develop and integrate full-stack solutions across frontend, backend, APIs, and data layers.
• Build user dashboards and interfaces powering AI-driven applications.
• Apply AI/ML concepts and integrate models into workflows.
• Create MCP tools and integrate with existing systems.
• Collaborate with engineering, product, and business teams; document technical work.

Skills

Full stack development

AI/ML concepts

Cloud platforms (Azure/AWS)

Containerization

APIs

Strong communication

Tools

Azure

AWS

Docker

Kubernetes

Job description

London Stock Exchange Group (LSEG) Data & Analytics in New York is seeking a Senior Associate Full Stack Developer with AI expertise to design and deliver end-to-end solutions.

You will develop across the full stack—frontend, backend, APIs and data layers—building AI-enabled dashboards and scalable, secure applications.

Collaborate with engineering, product and business teams to apply AI pipelines, MCP tools, and best practices in deployment and documentation.