AI Engineer

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October 16

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OX Security

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Cybersecurity • SaaS • Enterprise

OX Security is a leading provider of Application Security Posture Management (ASPM) solutions, dedicated to enhancing software supply chain security. The company offers a comprehensive platform that integrates seamlessly into CI/CD pipelines to provide visibility, risk prioritization, and remediation of vulnerabilities throughout the software development lifecycle. By leveraging a centralized approach, OX Security helps organizations manage AppSec processes effectively, fostering collaboration and eliminating data silos. The platform empowers businesses to adopt the 'shift-left' security methodology, ensuring that security measures are built into the early stages of development to improve protection and accelerate release cycles. OX Security is recognized for its exceptional support and innovative tools that offer a holistic view of application security, making it a trusted partner for enterprises seeking to enhance their cybersecurity posture.

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Venture Round on 2023-08

📋 Description

• Design and develop AI-powered applications using LangChain and LangGraph frameworks • Implement and optimize Model context protocol (MCP) integrations for AI agent workflows • Create sophisticated prompting strategies and prompt engineering solutions • Build robust backend services using Node.js and NestJS • Design and manage data pipelines with MongoDB and Redis for caching and session management • Collaborate with cross-functional teams to integrate AI capabilities into existing products • Research and implement emerging AI technologies and best practices • Optimize AI model performance and cost-effectiveness • Write clean, maintainable, and well-documented code

🎯 Requirements

• Backend Development: Proficiency in Node.js and NestJS framework at least 5+ years • AI/ML Frameworks: Hands-on experience building agents with LangChain and LangGraph or other related tech stack • Model Control Protocol: Experience with MCP implementation and agent orchestration • Prompt Engineering: Proven ability to design effective prompts for LLMs • Database Management: Experience with MongoDB for data storage and Redis for caching • Cloud Services: Proficiency with AWS services EC2, Lambda, S3, etc. • Bonus Points For: Bachelor's degree in Computer Science, AI/ML, or related field (or equivalent experience) • 2+ years of experience in software development with AI/ML components • Understanding of AI agent architectures and multi-agent systems • Previous experience building production AI applications • Fine tuned a unique model - an advantage