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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic Full-Stack Engineer - **Company:** WEEKDAYS LLC - **Location:** Albuquerque, NM, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Architectural Patterns, Microsoft Azure, Software as a Service, Cloud Computing Security, Cloud Engineering, Code Generation, Code Review, Continuous Integration, Internet Security, Software Engineering, Data Classification, Prompt Engineering, Generative AI, AI Coding Agents, Agentic-AI, Event Driven Architecture, Containerization, Information Technology, Codebase, Claude, Api Design, Restful APIs, GPT, Serverless Computing, Microservices - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/agentic-full-stack-engineer-albuquerque-nm--89a07c8d-4413-4ed9-8ba9-dc3508e0f6a7 ## About the Role Internet Security, Audio Engineering, Software Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Testing, Code Reviews, Productivity Management, Software as a Service (SaaS), We are looking for an Agentic Full-Stack Engineer who combines strong software engineering fundamentals with hands-on experience using AI coding agents to accelerate development. You will build and ship features for an AI-native cybersecurity platform, using tools such as Claude and ChatGPT as force multipliers while applying sound engineering judgment to review, refine, and validate AI-generated outputs., * 2+ years of experience building production-grade software, preferably within SaaS environments. * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience. * Working experience with at least one public cloud platform: AWS, GCP, or Azure. AWS experience is preferred. * Practical familiarity with containerization, RESTful API design, and at least one of serverless or event-driven architecture. * Ability to independently own features from scoping and implementation through testing, review, and deployment. * Strong written communication skills and the ability to collaborate across time zones. * Hands-on, daily experience using AI coding agents is mandatory. * Ability to evaluate AI-generated code and specifications for hallucinations, security flaws, and deviations from established architectural patterns. * Practical experience using GenAI tools such as Claude or ChatGPT for coding, research, drafting, summarization, data analysis, or workflow automation. * Understanding of GenAI limitations, including hallucination risks, context-window constraints, and data sensitivity boundaries. * Familiarity with prompt engineering, multi-step instructions, context setting, and iterative refinement of AI-generated outputs. * Comfort working with agentic AI workflows and willingness to learn how to design and extend them. * Awareness of AI security fundamentals, including prompt injection risks, data classification, sandboxed execution, and responsible handling of sensitive information. * Willingness to adopt emerging AI tools and participate in AI adoption initiatives, hackathons, and team knowledge-sharing activities. Good-to-Have Skills * Exposure to security tooling, vulnerability data, or threat intelligence. * Experience working in codebases with established testing practices and continuous integration (CI) processes. * Familiarity with cloud-native security platforms and microservices architectures. Location & Employment Requirements * Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico. * Must be legally authorized to work in the United States without requiring current or future employer sponsorship. * Employment is contingent upon successfully completing a background check, including prior employment verification. ## Description Full-Stack Feature Development * Design, develop, test, and deploy full-stack features for a cloud-native cybersecurity SaaS platform. * Use AI coding agents to draft specifications, generate boilerplate, and accelerate implementation. * Critically review AI-generated code and specifications for correctness, security vulnerabilities, hallucinations, and alignment with existing architectural patterns. * Take ownership of assigned features throughout the development lifecycle, including testing, code reviews, deployment, and monitoring. * Contribute to API design and data modelling within an established microservices architecture. Agentic AI & Automation Engineering * Use and extend existing agentic workflows and engineering automation pipelines. * Build reusable automations for recurring engineering tasks and contribute to AI-powered development processes. * Follow human-in-the-loop review practices to ensure all AI-generated changes are evaluated before reaching production. * Explore opportunities to move beyond using GenAI tools towards designing agent workflows and reusable AI capabilities., * Build and maintain cloud-native SaaS services on AWS or other public cloud platforms. * Work with containerized applications, RESTful APIs, and serverless or event-driven architectures. * Support services responsible for real-time threat intelligence ingestion and delivery. * Apply secure-by-design principles throughout development. Security & Cross-Functional Collaboration * Collaborate with security researchers to translate vulnerability intelligence into practical platform features. * Develop an understanding of exposure management, security tooling, vulnerability data, and threat intelligence. * Work with teams across the US and India, including attending 1-2 evening meetings per week to coordinate with India-based teams. * Integrate GenAI tools into everyday work while following data classification and responsible AI usage guidelines.