Senior Backend Developer (RAG-Powered Slackbot) - Fulltime - LATAM/EU

Overview

We’re looking for a skilled and reliable backend developer to take over and complete the development of a Slackbot project.

The Slackbot is a critical tool designed to interact with users in Slack, access internal and external data sources, and provide intelligent responses using Retrieval-Augmented Generation (RAG). While many have experimented with basic RAG chatbots, we’re aiming for something more advanced, robust, and production-ready.

Preferred Tech Stack:

• Node.js or Python (open to either, depending on candidate expertise)
• Experience with RAG implementations (beyond simple prototypes)
• Slack API, vector databases, and OpenAI or similar LLM integrations
• Strong database design and API integration skills

Key Responsibilities:

• Take over and complete the development of our Slackbot from an existing codebase (details and access will be provided via GitHub)
• Implement advanced RAG capabilities for contextual, data-driven responses
  Integrate Slack API to:
• Access chats across multiple channels
• Respond to user messages
• Schedule automated responses and data queries
• Build secure API and database integrations for real-time and scheduled data access
• Implement user-specific configurations and memory capabilities
• Create a comprehensive logging and error-handling system:
• Logs user interactions and errors
• Maintains message history (contextual memory)
• Provides informative error messages to users
• Set up security protocols and enforce data privacy best practices
• Build usage tracking and admin-level visibility into system performance

What We’re Looking For:

• Proven experience with either Node.js or Python for backend systems
• Demonstrated expertise in building RAG-powered applications (ideally with live examples or deployed projects)
• Familiarity with Slack app development and Slack API
• Strong understanding of modern backend architecture, including serverless and event-driven systems
• Excellent communication and documentation skills
• Reliable, accountable, and able to work independently

Nice to Have:

• Experience with vector databases and embeddings (e.g. Pinecone, Weaviate, FAISS)
• Previous work with scheduling systems or bots across time zones
• Experience building chatbots or assistants used in production