Job Overview
Seeking a Backend Node.js Engineer with hands-on production experience implementing AI/LLM solutions. The ideal candidate will have strong backend development skills and experience building scalable AI-enabled applications and services.
Key Responsibilities & Skills
- Develop backend services using Node.js, TypeScript, REST APIs, and Microservices
- Build backend orchestration for AI/LLM-powered applications
- Implement LLM APIs, RAG workflows, embeddings, and vector databases
- Integrate enterprise knowledge sources and manage prompt orchestration, conversation context, and tool/function calling
- Work with Redis, caching, rate limiting, sessions, and context management
- Develop event-driven systems using Kafka, queues, and background workers
- Implement API security, CI/CD, automated testing, and production deployments
- Monitor, troubleshoot, and optimize backend and AI systems
- Analyze and improve latency, token usage, cost, retrieval quality, and overall AI performance
Required Experience
- Strong hands-on experience with Node.js and TypeScript
- Proven experience building production-grade backend systems
- Practical experience implementing AI/LLM applications in production
- Strong understanding of RAG, embeddings, vector databases, and LLM integrations
- Experience with scalable microservices, APIs, messaging, caching, testing, and deployment
Note
This is not a front-end-focused position and is not a pure Data Science/ML research role. Candidates should have real-world experience building and deploying AI-enabled backend systems.
Rate:
Not specified
Location:
Bay Area
IR35 Status:
Outside
Remote Status:
Onsite
Industry:
IT
Seniority Level:
Not Specified