Senior AI Platforms Full-Stack Engineer

at Bloomberg

📍 New York City, United States

USD 160,000-240,000 per year

SENIOR

✅ On-site

Used Tools & Technologies

Machine Learning LLM

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Docker @ 4 Kubernetes @ 4 Playwright @ 4 TypeScript @ 4 Distributed Systems @ 7 Mathematics @ 4 React @ 4 Node.js @ 4 API @ 4 GraphQL @ 4 Observability @ 4 AI @ 4 GenAI @ 4

Details

Bloomberg's Engineering AI department builds AI-driven products and features using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. The team develops GenAI-native platform experiences for agentic UI interaction models, streaming and structured outputs, and developer workflows across the agent development lifecycle (ADLC). This role sits at the intersection of frontend engineering, platform infrastructure, and AI systems and focuses on designing and building systems, APIs, and interfaces that enable engineers to build, operate, and interact with LLMs, agents, and AI-driven workflows at scale.

Responsibilities

Architect, build, and evolve interaction systems for GenAI platforms, including APIs, Backend-for-Frontend (BFF) layers, and UI frameworks.
Explore patterns for agent-to-UI (A2UI), MCP-powered applications, and human-in-the-loop interaction models.
Work closely with GenAI platform and application teams to understand workflows, identify inefficiencies, and shape next-generation platform capabilities.
Improve observability, debuggability, and reliability of GenAI systems by building shared tooling, interfaces, and platform capabilities used across teams.
Drive performance, scalability, and usability improvements across platform experiences.
Contribute to and collaborate with open-source and internal GenAI ecosystems, including technologies like MCP.

Requirements

Proven experience building modern web and platform systems using Node.js, React, TypeScript, Vite, or similar technologies.
Experience with modern frontend tooling such as Tailwind and Playwright (or equivalent).
Experience designing and building Backend-for-Frontend (BFF) APIs, developer platforms, design systems, or component libraries.
Experience with or strong interest in agent-based systems (A2A, A2UI), MCP apps, and building AI-native interaction workflows.
Strong understanding of system design, distributed systems, and API architecture.
A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Collaborative and honest approach to problem-solving.

Technologies & Tools Mentioned

Frontend: React, TypeScript, Vite, Tailwind
Backend/platform: Node.js, Backend-for-Frontend (BFF) APIs, GraphQL
Infrastructure & orchestration: Kubernetes, Docker
AI/ML: transformers, large language models (LLMs), gradient boosted decision trees, dense vector databases, agent-based systems, MCP
Testing & tooling: Playwright

Benefits

Salary range listed (see below) plus benefits and bonus.
Company benefits may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs.
Note: the Company does not provide benefits directly to contingent workers/contractors and interns.