Senior Frontend Engineer, AI Agents

Senior Frontend Engineer

The Applied AI team at Balyasny Asset Management builds BamGPT — BAM's internal AI platform for assistants, deep research, enterprise integrations, and scheduled workflows. Our next major push is agents: persistent AI systems that can execute multi-step tasks, collaborate with users, and operate inside real investment workflows. You'll work primarily in React, TypeScript, and Next.js, building interfaces for streaming agent output, long-running workflows, tool execution, file-aware research, and the controls that help users understand and steer agent behavior. The products you build will be used daily by portfolio managers, analysts, and researchers across the firm.

What You'll Do

Build the core UI for BAM's AI workspace — assistants, agentic workflows, deep research, scheduled prompts, and multi-agent collaboration

Design experiences for streaming responses, asynchronous runs, tool execution, and long-running agent tasks including progress, intervention, and failure recovery

Develop reusable rendering systems for tool and plugin outputs, structured results, citations, and rich AI artifacts

Drive frontend architecture across state management, rendering strategy, performance, testing, and observability

Partner with backend and ML engineers to translate model and agent capabilities into reliable, legible user experiences

Mentor engineers and contribute to technical standards across the platform

Participate in on-call rotations for production issues affecting the user experience

Minimum Qualifications

10+ years of professional software development with substantial modern frontend experience

Expert-level React and TypeScript

Strong Next.js experience and fluency with modern frontend architecture patterns

Experience building streaming or asynchronous UIs with robust loading, retry, and error states

Strong understanding of state management, caching, rendering tradeoffs, and performance optimization

Experience building reusable component systems in large codebases

Solid testing discipline across unit, integration, and end-to-end layers

Strong product and UX judgment for complex, information-dense tools

Preferred Qualifications

Experience shipping AI-native or agentic product features in production

Familiarity with LLM APIs (OpenAI, Anthropic, or similar)

Experience with human-in-the-loop design: approvals, intervention, agent supervision

Familiarity with Node.js or Python and comfort working across the stack

Experience with enterprise auth, permissions, and integration-aware UX

Experience with observability tools such as Sentry or Grafana

Background building tools for expert users in demanding domains — finance, devtools, security, research

Why Join?

You're joining one of the world's top hedge funds to work on the technology that has everyone's attention right now. Agents, LLMs, and agentic workflows are the frontier, and you'll be building production systems around it. Walk the floor and you'll see your apps on almost everyone's screens. The feedback loop is immediate. People are using what you build and are making consequential decisions with it every day. That kind of proximity to impact is rare in any engineering role.