Software Developer (Frontend / Full Stack)

Job Family:

Software Development & Support

Travel Required:

Up to 10%

Clearance Required:

Active Top Secret (TS)

Guidehouse is seeking a Front-End / Full-Stack Software Developer to join our Technology / AI and Data team, supporting mission-critical initiatives for Defense and Security clients. In this role, you will lead the development of intuitive, secure, and high-performance user interfaces that enable analysts to interact with advanced AI-driven platforms. You will design and implement full-stack solutions that integrate frontend components with backend services, AI/ML pipelines, and workflow orchestration systems, ensuring compliance with stringent federal security and accessibility standards. Collaborating with engineers, architects, and mission stakeholders, you will deliver innovative tools that enhance decision-making and operational effectiveness in support of national security objectives.

What You Will Do:

• Serves as the lead frontend/full‑stack engineer responsible for developing the FBI adjudication platform’s analyst‑facing interface, enabling analysts to review AI outputs, explore entities, assess anomalies, evaluate SEAD‑4 scoring rationales, and generate adjudication memos.

• Designs intuitive, performant, secure, and accessible UI components supporting long‑document review, multi‑panel comparisons, risk visualization, human‑AI review workflows, and structured memo generation.

• Implements full‑stack integrations between UI components, backend APIs, LLM inference endpoints, retrieval services, scoring engines, and workflow orchestration pipelines.

• Ensures frontend components comply with FedRAMP High, RMF, NIST 800‑53, and FBI ATO requirements including session integrity, RBAC, secure rendering, and audit logging.

UI/UX Engineering for Analyst Workflows

• Design and implement UI components for evidence review including long‑document navigation, multi‑page PDF rendering, in‑line annotations, bookmarks, and side‑by‑side comparisons.

• Develop interfaces for entity extraction panels showing extracted entities, risk flags, cross‑references, and SEAD‑4 guideline relationships.

• Build a memo‑builder UI that integrates AI‑generated drafts with human edits, supports structured adjudication templates, source citations, formatting tools, and approval workflows.

• Implement dashboards showing risk indicators, timeline reconstructions, anomaly summaries, continuous‑vetting alerts, and adjudication scoring breakdowns.

Frontend Engineering (React / Angular / TypeScript)

• Develop frontend applications using React, Angular, or Vue with strong TypeScript patterns, modular component design, and maintainable state‑management solutions (Redux, NGXS, Zustand, MobX).

• Implement secure UI behaviors including RBAC‑aware rendering, sanitized inputs, content‑security policies, strict routing guards, and safe third‑party component usage.

• Optimize rendering pipelines supporting large datasets, long files, and dynamic case workloads using virtualization, lazy loading, and performance tuning.

• Build reusable design systems, theming layers, and accessibility‑compliant components (Section 508).

Full‑Stack Development & API Integration

• Integrate UI components with backend APIs providing document ingestion, entity metadata, LLM results, retrieval outputs, scoring engines, and memo‑generation workflows.

• Implement client‑side API wrappers, schema validation, request batching, and offline‑safe patterns to improve robustness and reliability.

• Support event‑driven features using WebSockets or streaming APIs to show live processing updates, workflow routing events, or LLM inference progress.

• Collaborate with backend engineers to co‑design schemas that guarantee consistency, traceability, and audit‑friendly communication across API boundaries.

Data Visualization, Evidence Representation & Risk Display

• Build interactive charts, timelines, relationship graphs, and risk‑factor matrices visualizing SEAD‑4 scoring, anomalies, evidence linkages, and adjudication logic.

• Develop UI components that present AI‑generated outputs—including structured reasoning strings, classification labels, and model‑confidence indicators—in clear and interpretable formats.

• Implement comparative displays allowing analysts to reconcile model outputs with source evidence, improving trust, transparency, and human‑AI synergy.

Security, Compliance & Logging (FedRAMP High / RMF / ATO)

• Implement secure UI development practices including sani