Agentic AI Full-Stack Engineer (Remote)

Weekday

United States

Remote

USD 21,000 - 53,000

Full time

3 days ago

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Job summary

Weekday seeks an Agentic Full-Stack Engineer to build and ship features for an AI-native cybersecurity platform. You will own end-to-end development in a microservices architecture, reviewing AI-generated code for security and correctness and embedding secure‑by‑design practices.

You will collaborate with US and India teams, leveraging Claude/ChatGPT to accelerate delivery. The role emphasizes hands-on coding with cloud-native tech (AWS/GCP/Azure), containerization, RESTful APIs, and an

Qualifications

2+ years of experience building production-grade software, preferably SaaS.
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.

Responsibilities

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.
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 production.
Explore opportunities to move beyond GenAI tools towards designing agent workflows and reusable AI capabilities.
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.