Full-Stack Node.js / React AI Developer (RAG, LangChain) to $2500

About us

We build AI-powered solutions that solve real business problems. You’ll work with the latest technologies and implement production-grade AI features, including RAG pipelines, agentic and multi-agent workflows, and complex LLM-driven systems.

Responsibilities

• Solve engineering problems related to process automation, knowledge systems, and agentic / multi-agent architectures.
• Design, build, and maintain AI-powered features that go beyond basic LLM API calls.
• Develop backend services using Node.js (Express, Fastify, or NestJS).
• Build user-facing features with React, Next.js, and TypeScript.
• Implement and iterate on RAG pipelines (retrieval strategies, chunking, evaluation, quality improvements).
• Work with vector databases (pgvector, Qdrant, Pinecone, Weaviate).
• Integrate external APIs, payment systems, and authentication flows.
• Design clean REST APIs and ensure reliable client–server communication.
• Work with PostgreSQL.
• Write unit tests and take ownership of debugging, performance profiling, and optimization to ensure systems are reliable and scalable.
• Follow best practices with Git, Docker, and basic CI workflows.
   

Requirements

• Strong problem-solving mindset, creativity, and ability to learn quickly.
• Solid Node.js experience in production (2+ years).
• Experience with at least one Node.js framework (Express, Fastify, or NestJS).
• Practical experience and strong interest in LLM-based systems, not just simple ChatGPT-style wrappers, including:
  • RAG
  • LangChain (bonus: LangGraph, LangSmith)
  • Prompt engineering
     
• Understanding of backend fundamentals: APIs, databases, performance, and debugging.
• Experience with JavaScript / TypeScript (1+ year).
  
   

Nice to have

• Experience with Python and FastAPI.
• Redis, queues, caching.
• AWS or GCP familiarity.
• CI with GitHub Actions.
• Monitoring and tracing tools (Prometheus, Grafana, OpenTelemetry).
   

What we offer

• Competitive salary and bonuses
• Remote-first culture
• Flexible schedule
• Open-minded, results-driven environment
• Product ownership and impact