Senior Full-Stack AI Engineer – Agentic Systems

🔥 15 minutes ago

🇺🇸 United States – Remote

💵 $125k - $175k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quzara LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💼 Consulting

🏥 Healthcare

🎖️ Defense

Consulting • Healthcare • Defense

Quzara LLC is a cybersecurity firm that specializes in compliance advisory, cloud security, and managed security operations. The company's services include Federal Security & Compliance, managed detection and response, cloud security configuration audits, and vulnerability management. Quzara's mission is to provide strategic and tactical trusted advisory services to clients in both the public and private sectors, focusing on ensuring security compliance and protection against cyber threats. Notably, Quzara's Cybertorch™ service is recognized for its rigorous approach to threat monitoring and incident response, catering to standards such as FedRAMP, DoD IL-4/IL-5, and CMMC.

📋 Description

• Build and scale NISTCompliance.ai, Quzara's AI-enabled cybersecurity compliance platform • 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 for repository analysis, development, testing, debugging, refactoring, and code review • Diagnose complex engineering problems across application, AI, data, and cloud layers • Contribute to architecture, engineering standards, code reviews, and technical mentoring • Evaluate emerging AI technologies and determine which capabilities are suitable for production use • Perform other duties as assigned

🎯 Requirements

• 7+ years of professional software engineering experience • Demonstrated experience owning complex software features or systems from design through production • Strong full-stack development experience • Advanced proficiency in Python • Strong proficiency with JavaScript/TypeScript and modern web application development • Experience building and integrating REST APIs and production backend services • Experience with relational databases such as PostgreSQL or equivalent • Hands-on experience integrating commercial LLMs such as Anthropic Claude, OpenAI models, or comparable platforms into production applications • Practical experience with agentic AI, tool/function calling, structured model outputs, and multi-step AI workflows • Experience building RAG or similar retrieval-based AI applications • Significant hands-on experience with AI-assisted development environments such as Claude Code, Codex, GitHub Copilot, Cursor, Windsurf, or similar tools • Strong understanding of software engineering fundamentals including testing, source control, CI/CD, observability, security, and maintainable application architecture • Experience with Docker and modern cloud application development • Ability to independently take ambiguous product requirements and turn them into production software • U.S. citizenship required • Preferred: Experience designing AI agents or multi-agent systems • Preferred: Familiarity with Model Context Protocol (MCP) or comparable agent/tool integration approaches • Preferred: Experience with AI orchestration frameworks and agent SDKs • Preferred: Experience with LLM evaluation, observability, benchmarking, or LLMOps platforms • Preferred: Experience with vector search, embeddings, document processing, or enterprise knowledge systems • Preferred: Experience building multi-tenant enterprise SaaS applications • Preferred: Experience with Microsoft Azure or other major cloud platforms • Cybersecurity, compliance, GRC, or federal technology experience is helpful but not required • Preferred: Experience mentoring other software engineers