Senior Backend Engineer (AI Systems & Multi-Agent Infrastructure)

brix • United Kingdom

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AI Summary

Join Eigent AI as a Senior Backend Engineer to develop and enhance AI agent systems, focusing on multi-agent collaboration, multi-modal memory, and scalable distributed architectures. You’ll design high-performance backend infrastructure, optimize large-scale systems, and contribute to cutting-edge AI research. Requires expertise in Go/Java/Python, distributed systems, and database optimization with a passion for AI-driven problem-solving.

Key Highlights

Develop and optimize AI agent infrastructure for seamless multi-agent collaboration and multi-modal memory systems

Design and implement high-concurrency, high-availability backend systems for enterprise-level AI products

Collaborate on research-driven AI projects, including reasoning frameworks, model architectures, and data pipelines

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Key Responsibilities

Design and develop enterprise-level backend systems ensuring security, high availability, and scalability for AI agent infrastructure

Collaborate on product design reviews and drive high-quality delivery of AI-driven backend solutions

Optimize and architect distributed systems for multi-agent cooperation, multi-modal memory, and high-concurrency workloads

Stay updated on leading-edge backend technologies and integrate advancements into AI product development

Technical Skills Required

Python Distributed Systems Databases (SQL)

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Benefits & Perks

Competitive salary and benefits

Visa sponsorship available for UK/US-based and overseas candidates

Opportunities for professional growth and learning

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Nice to Have

Contributors to CAMEL-AI.org

Familiarity with CAMEL AI agent framework

Job Description

EEigent AISenior Backend Engineer(UTC+00:00) LondonFull-time Employment100k - 300k USD/yearover 2 years agoEEigent AISenior Backend Engineer(UTC+00:00) LondonFull-time Employment100k - 300k USD/yearover 2 years agoAbout the jobEigent AI is a research-driven startup aiming to design practical artificial general intelligence. We build agents that can efficiently reason and interact with external environments in a robust manner. Our prior work includes camel-ai.org, which is the earliest large language model-based multi-agent system for real-world task solving.

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