Design, build, and scale backend services and distributed systems using Node.js, Express, MongoDB, Redis, and BullMQ. Integrate AI/LLM features with Anthropic Claude SDK, implement vector search with Pinecone, deploy on GCP, and ensure performance, reliability, testing, and documentation while collaborating across teams.
We are seeking a Senior Backend / AI Engineer to design, develop, and scale robust backend systems while integrating advanced AI capabilities and agentic workflows. The role focuses on building high-performance distributed systems, enabling intelligent data processing, and leveraging modern AI tools to power innovative solutions.
The Key Responsibilities are:
- Design, develop, and maintain scalable backend services using Node.js and Express.
- Architect and manage databases using MongoDB and Mongoose to ensure high availability and performance.
- Build and optimize distributed job processing systems using BullMQ and Redis.
- Develop and integrate AI-powered features using Anthropic Claude SDK and agentic workflows.
- Implement vector search solutions using Pinecone to support intelligent data retrieval systems.
- Collaborate with cross-functional teams to define system architecture and deliver end-to-end solutions.
- Optimize backend performance, scalability, and reliability across distributed systems.
- Ensure code quality through best practices, including testing, code reviews, and documentation.
- Deploy and maintain backend services on GCP or similar cloud environments.
- Troubleshoot and resolve complex technical issues in production environments.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Minimum of 5 years of experience in backend engineering.
- Strong proficiency in Node.js and Express framework.
- Solid experience with MongoDB and Mongoose.
- Hands-on experience with Redis and job queue systems such as BullMQ or similar.
- Experience working with AI/LLM integrations, including Anthropic Claude SDK or equivalent tools.
- Knowledge of agentic workflows and building AI-driven applications.
- Experience with vector databases and search technologies such as Pinecone.
- Exposure to cloud platforms, preferably Google Cloud Platform (GCP).
- Strong understanding of distributed systems and microservices architecture.
- Excellent problem-solving and analytical skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent English communication skills.
This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.
We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading CVs, reorganizing, and extracting CV information). These tools are only used to assist our team.
No hiring decision is made solely by automated means; all applications are subject to human review and assessment.
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