
Senior Full-Stack AI Engineer – Agentic Systems
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Develop and enhance NISTCompliance.ai, Quzara's AI-driven cybersecurity compliance platform.
• Design, create, test, and deploy production features across the frontend, backend, APIs, databases, and AI services.
• Create AI-enhanced product functionalities utilizing leading large language models and generative AI platforms.
• Design and execute agentic workflows that involve tool usage, structured outputs, multi-step tasks, and human supervision.
• Advance and refine retrieval-augmented generation (RAG), semantic search, document intelligence, and knowledge-retrieval features.
• Integrate AI functionalities into pre-existing application workflows and enterprise systems.
• Establish reliable evaluation, testing, monitoring, and observability for AI-driven features.
• Develop secure, scalable APIs and backend services that support AI-enabled applications.
• Utilize AI-assisted coding tools for repository analysis, development, testing, debugging, refactoring, and code reviews.
• Troubleshoot complex engineering challenges across application, AI, data, and cloud layers.
• Contribute to architectural design, engineering standards, code reviews, and provide technical mentoring.
• Assess emerging AI technologies to identify suitable capabilities for production implementation.
• Perform additional tasks as assigned.
• Over 7 years of professional experience in software engineering.
• Proven experience managing complex software features or systems from design to production.
• Strong background in full-stack development.
• Advanced expertise in Python.
• Strong proficiency in JavaScript/TypeScript and contemporary web application development.
• Experience in building and integrating REST APIs and production backend services.
• Familiarity with relational databases such as PostgreSQL or equivalent.
• Practical experience integrating commercial LLMs like Anthropic Claude, OpenAI models, or similar platforms into production applications.
• Hands-on experience with agentic AI, tool/function calling, structured model outputs, and multi-step AI workflows.
• Experience in developing RAG or similar retrieval-based AI applications.
• Significant hands-on experience with AI-assisted development tools such as Claude Code, Codex, GitHub Copilot, Cursor, Windsurf, or similar platforms.
• Strong understanding of software engineering principles, including testing, source control, CI/CD, observability, security, and maintainable application architecture.
• Experience with Docker and modern cloud application development.
• Ability to independently translate ambiguous product requirements into production-ready software.
• U.S. citizenship is required.
• Preferred: Experience in designing AI agents or multi-agent systems.
• Preferred: Familiarity with Model Context Protocol (MCP) or similar agent/tool integration methodologies.
• Preferred: Experience with AI orchestration frameworks and agent SDKs.
• Preferred: Background in LLM evaluation, observability, benchmarking, or LLMOps platforms.
• Preferred: Experience with vector search, embeddings, document processing, or enterprise knowledge systems.
• Preferred: Experience developing multi-tenant enterprise SaaS applications.
• Preferred: Familiarity with Microsoft Azure or other leading cloud platforms.
• Experience in cybersecurity, compliance, GRC, or federal technology is advantageous but not mandatory.
• Preferred: Experience mentoring other software engineers.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work opportunities.
• Professional development and training programs.
• Collaborative and inclusive work environment.
Alzheimer's Association®
Capital One
Capital One
Goods & Services
Get handpicked remote jobs straight to your inbox weekly.