Software Developer; Frontend​/Full Stack

Job Family

Software Development & Support

Up to 10%

Active Top Secret (TS)

• 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.

• 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.

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

• 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 Web Sockets 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.

• Build interactive charts, timelines, relationship graphs, and risk‑factor matrices visualizing SEAD‑4, 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.

• Implement secure UI development practices including sanitized rendering, CSP headers, strict input validation, and secure embedding of documents and interactive content.
• Integrate client‑side logging and audit‑event capture ensuring adjudicator actions—reviews, overrides, memo edits, evidence expansions—are captured for ATO compliance.
• Ensure compliance with FedRAMP High, RMF, encryption‑in‑transit, session protection, idle timeouts, and controlled display of sensitive information.
• Collaborate with Security Engineers to provide UI‑specific artifacts for SSPs, control‑implementation statements, and audit requirements.

• Optimize UI bundles using code splitting, lazy loading, caching strategies, and GPU‑accelerated rendering when applicable.
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