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Senior Full-Stack AI Engineer (Agentic Systems)

Quzara LLC•United States•🌍 Remote
Full-time7-15
$125K - $175K
per year
👁️ 0 views•📝 0 applications•Posted 10/2/2026•Expires 12/1/2026
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Job Description

Job Title: Senior Full-Stack AI Engineer (Agentic Systems) Pay Type : SALARIED EXEMPT Location: Remote What We’re Looking For : We're looking for an AI-native, hands-on engineer who builds and ships production-ready software across the full stack, not just AI prototypes.

You use tools like Claude Code, Codex, GitHub Copilot, and Cursor to work faster, and you back them with sound engineering judgment, rigorous testing, and strong security practices. This is an engineering role, not a data science or research position.

Summary of Position Role/Responsibilities The Senior Full-Stack AI Engineer – Agentic Systems will build and scale NISTCompliance. ai, Quzara's AI-enabled cybersecurity compliance platform. This senior, hands-on role designs, codes, tests, and ships production software across the full stack.

It also covers building AI capabilities with leading large language models, including agentic workflows, retrieval-augmented generation (RAG), and document intelligence.

The ideal candidate is an AI-native engineer who uses AI-assisted development tools to deliver secure, reliable, production-ready software, not prototypes. Essential Functions of the Job Design, build, test, and ship production features across frontend, backend, APIs, databases, and AI services.

Build AI-powered product capabilities using leading large language models and generative AI platforms. Design and implement agentic workflows involving tool use, structured outputs, multi-step tasks, and human oversight.

Develop and improve retrieval-augmented generation (RAG), semantic search, document intelligence, and knowledge-retrieval capabilities. Integrate AI capabilities into existing application workflows and enterprise systems. Build reliable evaluation, testing, monitoring, and observability for AI-powered functionality.

Develop secure, scalable APIs and backend services supporting AI-enabled applications. Use AI-assisted coding tools extensively for repository analysis, development, testing, deb

Required Skills

AIfull stack developmentproduction softwarelarge language modelsagentic workflowsretrieval-augmented generationdocument intelligenceAPIsdatabasesAI servicessecure codingtestingmonitoringobservabilityAI-assisted development toolsGitHub CopilotClaude CodeCodexCursorcybersecurity compliancesemantic searchknowledge-retrieval

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