Agentic Full-Stack Engineer
New
W
Weekday AICybersecurity SaaS
Workable workplace: remote; Workable locations: Albuquerque, New Mexico, United States. California, United States. San Jose, California, United States. New Mexico, United States. India. Location: Remote (India), India, Attend 1–2 evening meetings per week to coordinate with India-based teams.Full-TimeMiddle
Salary2,000,000 - 5,000,000 INR per year
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Job Details
- Experience
- 2+ years of experience building production-grade software, preferably within SaaS environments.
- Required Skills
- AWSFull Stack DevelopmentGCPAzureRESTful APIsPrompt Engineering
Requirements
- Have 2+ years of experience building production-grade software, preferably in SaaS environments.
- Hold a bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or have equivalent practical experience.
- Have working experience with at least one public cloud platform: AWS, GCP, or Azure; AWS is preferred.
- Have practical familiarity with containerization, RESTful API design, and at least one of serverless or event-driven architecture.
- Be able to own features from scoping and implementation through testing, review, and deployment.
- Have hands-on, daily experience using AI coding agents.
- Be able to evaluate AI-generated code and specifications for hallucinations, security flaws, and deviations from established architectural patterns.
- Have practical experience using GenAI tools such as Claude or ChatGPT for coding, research, drafting, summarization, data analysis, or workflow automation.
- Understand GenAI limitations, including hallucination risks, context-window constraints, and data sensitivity boundaries.
- Be familiar with prompt engineering, multi-step instructions, context setting, and iterative refinement of AI-generated outputs.
- Be comfortable working with agentic AI workflows and willing to learn how to design and extend them.
- Have awareness of AI security fundamentals, including prompt injection risks, data classification, sandboxed execution, and responsible handling of sensitive information.
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.
- Review AI-generated code and specifications for correctness, security vulnerabilities, hallucinations, and architectural alignment.
- Own assigned features through testing, code reviews, deployment, and monitoring.
- Contribute to API design and data modelling within an established microservices architecture.
- Extend agentic workflows and build reusable automations for recurring engineering tasks.
- Build and maintain cloud-native SaaS services using public cloud platforms.
- Support services for real-time threat intelligence ingestion and delivery.
- Collaborate with security researchers to translate vulnerability intelligence into platform features.
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