AI Front-End Developer, Senior

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a senior Frontend Engineer to own the G RACE frontend, including the Chainlit chat interface and React/TypeScript UI layers. You will drive real-time AI experiences, streaming outputs, and rich rendering across code blocks, diagrams, and maps.

Collaborate with backend engineers, UX researchers, and designers to ship robust interfaces with accessibility and strong performance, at scale.

Qualifications

• 7+ years of experience building production web applications frontend.
• 5+ years designing AI/LLM/chat/agentic products with streaming outputs.
• 5+ years front-end patterns for agentic AI including streaming UX and multi-agent workflows.
• 5+ years real-time UI with WebSockets or SSE and performance optimizations.
• Experience with TypeScript/JavaScript and React, hooks, state management.

Responsibilities

• Own the G RACE frontend end-to-end, including Chainlit chat and React/TypeScript UI.
• Render rich AI output with streaming, markdown, code blocks, diagrams, and maps.
• Design interaction patterns for agentic workflows, tool-call visibility, and long-running task handling.
• Implement frontend-facing integrations with data sources and APIs, including LLM outputs and tool results.
• Collaborate with backend engineers on API contracts and maintain production-quality code.
• Mentor and unblock other engineers, promoting coding standards and accessibility.

Skills

Frontend development

React

TypeScript

JavaScript

WebSockets

Streaming UI

Python

CSS

Design systems

Accessibility

Education

Bachelor's degree in Computer Science

Tools

Chainlit

Markdown rendering

Mermaid diagrams

GeoJSON maps

Job description

What You’ll Work On:

• Own the G RACE front end end-to-end, including the Chainlit-based chat application and the React or TypeScript components and interaction patterns layered on top of it.
• Own the rendering pipeline for rich AI output, including streaming responses, markdown, code blocks, tables, citations, diagrams with Mermaid, maps with GeoJSON, and generated images, so that complex output is legible and t rus tworthy.
• Design and build interaction patterns for agentic workflows, including tool-call progress, multi-step reasoning states, human-in-the-loop confirmations, and g race ful handling of long-running or partial responses.
• Apply industry best practices and emerging front-end patterns specific to agentic AI, including streaming UX, agent and tool-call visibility, and interfaces for user-built and multi-agent workflows.
• Own client-side state, streaming, and real-time updates, including WebSocket or SSE, so the interface stays responsive while the backend is still working.
• Build file upload, document preview, and results-display experiences for G RACE’s knowledge search and research workflows.
• Work close to the application layer in Python where Chainlit lives and customize rendering, session handling, and interaction behavior beyond what the framework gives you out of the box.
• Partner with backend engineers on the API contract the front end consumes, shape it so it serves the user experience, and implement the glue when the boundary is fuzzy.
• Implement front-end-facing integrations with G RACE’s data sources and APIs, including LLM provider outputs, knowledge search, and tool results.
• Write readable, tested, reviewed, and documented production-quality code across the stack.
• Work hand in hand with our human-centered researcher and designer to turn user insights and design intent into interfaces that actually serve the user, not just approximations of the mockup.
• Translate research findings and usability feedback into concrete UI changes and close the loop by shipping, measuring, and iterating.
• Treat design fidelity, interaction detail, and edge‑case behavior as part of the job and sweat the small things because they are what users feel.
• Own front-end performance from the user's perspective, including time-to-first-token, perceived latency, and smooth streaming under real network conditions.
• Ensure accessibility, including Section 508 and WCAG, is built in, not bolted on.
• Build front-end observability, including client-side error tracking, usage analytics, and the instrumentation needed to know what users actually do.
• Rapidly prototype and iterate on new G RACE capabilities and ship, measure, and improve.
• Establish and improve front-end coding standards, design review, and testing practices.
• Communicate technical decisions clearly to both engineers and non-engineers.
• Mentor and unblock other engineers with a bias toward ownership and speed.
• Ensure strong privacy, security, and compliance in all UI, data handling, and integrations.

You Have:

• 7+ years of experience in software engineering, building and operating production web applications, including on the front end.
• 5+ years of experience designing and building for AI, LLM, chat, or agentic products, including streaming responses, citation and source display, tool-call visibility, and building for uncertain or probabilistic output.
• 5+ years of experience with industry best practices and front-end patterns specific to agentic AI, including streaming UX, agent and tool-call visibility, human-in-the-loop, and multi-agent workflows.
• 5+ years of experience with real-time UI patterns such as streaming responses, WebSockets or SSE, and optimistic or partial rendering, including web performance, cross-browser behavior, and front-end testing.
• Experience with TypeScript or JavaScript and React and its modern ecosystem, including hooks, state management, and component architecture.
• Experience in a backend language such as Python and comfort operating across the client or server boundary.
• Experience shipping complex, interactive UIs in high-velocity environments where you owned features end-to-end using CSS and responsive design fundamentals.
• Ability to communicate, give and receive feedback well, and be a self-starter with a high bar and high sense of urgency.
• Bachelor's degree in Computer Science.

Nice If You Have:

• Experience with Chainlit or similar conversational or LLM front-end frameworks, including customizing rendering and interaction behavior.
• Experience with rich client-side rendering, including markdown, syntax highlighting, Mermaid diagrams, data visualization, or map rendering.
• Experience working directly with UX researchers and designers in a tight build-measure-learn loop.
• Experience in Microsoft Azure and within CI/CD pipelines, including deploying and operating builds.
• Experience with design systems and component libraries at scale.
• Experience in startup or early-stage environments with ambiguity, rapid iteration, and wearing multiple hats.
• Experience in big tech or scaled tech organizations building customer-facing products.
• Ability to pay strict attention to detail.
• Master's degree in a Computer Science related field.

Compensation:

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Benefits include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.