Backend & AI Engineer - Remote

Overview

We are looking for an experienced and ambitious Backend & AI Engineer with deep expertise in search systems, data pipelines, and AI agent orchestration. You will design, implement, and maintain backend infrastructures that power advanced AI-driven products, focusing on multi-agent architectures, retrieval-augmented generation (RAG), and cutting-edge search technologies.

In Short

• Architect & Implement Search & AI Systems
• Research, design, implement, and maintain search systems and products utilizing AI at their core (e.g., RAG pipelines, advanced NLP, Web3 Agents Marketplace and protocol and more).
• Engineer and optimize RAG-based AI search and chat systems into our products.
• Develop and integrate AI agent frameworks capable of orchestrating multiple agents for tasks like data retrieval, data enrichment, and automated decision-making.
• Collaborate with data scientists and ML engineers to create agent-based protocols that streamline AI-driven processes.
• Build and maintain backend systems handling large-scale scraping, search indexing, and querying pipelines.
• Implement scalable APIs (REST, GraphQL) that serve search and agent-based results with high availability and low latency.
• Optimize backend systems for performance, scalability, and cost efficiency.
• Leverage traditional keyword search and semantic vector-based search.
• Stay up-to-date with advancements in search technologies, NLP models, AI agent architectures, and frameworks.

Requirements

• Backend Engineering (4+ years)
• Proven experience in designing, building, and scaling highly data-intensive products and web scraping pipelines.
• Strong proficiency in Python, with a track record of delivering production-grade products and APIs.
• Expertise in keyword-based search systems like Lucene/Elasticsearch.
• Experience with vector databases for semantic search.
• Hands-on experience implementing RAG frameworks with AI search.
• Strong understanding of NLP models, embeddings, and large language models (LLMs).
• Familiarity with frameworks for building advanced AI and agent-based solutions.
• Experience integrating AI/ML models into production systems.
• Knowledge of agent communication protocols, state management, and orchestration patterns.

Benefits

• The opportunity to pioneer next-generation AI agent orchestration and RAG-based systems.
• A dynamic environment where you can push boundaries in NLP, search, and distributed systems.
• Collaboration with a talented team across data science, product, and platform engineering.
• Competitive compensation, benefits, and the chance to shape high-impact AI-driven products.