Fullstack Ai Engineering Manager

Role: Senior Full Stack Software Engineer (SaaS & Cybersecurity) Hybrid Role in SFO Bay Area W2 Role

Key Responsibilities

• Feature Development & Delivery Deliver new technical features for B2B and B2C SaaS products.
• Work closely with engineers, Product Managers, and UX Designers to scope engineering requirements and timelines.
• Anticipate and communicate blockers and delays before escalation is required.
• Continuously contribute to improving engineering culture, practices, and processes.
• Explore and prototype the use of Generative AI and Large Language Models (LLMs) to drive product innovation.

• Write and deliver clean, maintainable, and well-tested code.
• Implement front-end UI components using TypeScript and React.
• Develop RESTful API endpoints using TypeScript and Node.js.
• Participate in peer code reviews to ensure code quality and adherence to engineering best practices.
• Collaborate with developers to build reusable code and libraries for future use.
• Implement software security requirements across applications.
• Utilize modern developer tools to enhance productivity and code quality.
• Integrate APIs and services to deliver intelligent product capabilities.

• Design API endpoints, define schemas, and generate technical documentation.
• Design reusable and scalable React components for the front-end.
• Make sound architectural decisions focused on customer experience.
• Develop optimal software designs aligned with architectural best practices.
• Consider system performance, scalability, and reliability when designing solutions.
• Design and implement Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) pipelines to enable AI-driven solutions.

• Deliver well-tested code.
• Write unit tests for APIs and front-end components.

• Troubleshoot, debug, maintain, and improve existing software.
• Resolve bugs, performance issues, and security vulnerabilities.
• Participate in an on-call rotation to address customer issues and server alerts when necessary.

• 10+ years of software engineering experience.
• Experience coding in JavaScript / TypeScript, HTML5, CSS3, or related technologies.
• Strong experience with front-end frameworks (preferably React).
• Experience designing and developing APIs, ideally with Node.js.
• Experience with application, network, and cloud security.
• Experience designing and architecting microservices.
• Strong computer science fundamentals and problem-solving skills.
• Experience with version control systems such as Git or SVN.
• Understanding of Agile development and DevOps principles.

• Experience writing unit tests using frameworks such as Mocha, Jest, or similar.
• Familiarity with SaaS product architectures.
• Experience working with AWS, Azure, or Google Cloud environments.
• Experience with AI-enabled system design, including: Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) pipelines, Vector databases such as Pinecone or Weaviate
• Familiarity with modern developer tools for AI-assisted development.

For applications and inquiries, contact: hirings@openkyber.com