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Openclaw engineer

Nottingham (Nottinghamshire)
Engineer
£73,000 - £94,000 a year
Posted: 11h ago
Offer description

Salary: £73,000 - 94,000 per year Requirements: We require 2 years of experience in backend engineering, AI automation, or complex systems integration. We require proven ability to build and maintain production-grade software with modular separation, such as distinct services for data parsing, logic processing, and reporting. We require strong command of at least two major languages, such as Python, JavaScript, Go, or Java, and experience working with SQL databases. We require practical experience building for live, non-mocked environments and handling multi-turn system interactions. We require outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have: expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Nice to have: hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. Nice to have: high comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Nice to have: experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections. Responsibilities: We collaborate with leading AI organizations to train large language models to function as proactive, multi-step agents. We help teach systems how to design, coordinate, and optimize complex, real-world architectural workflows. We provide human feedback to improve AI agents and autonomous systems. We train advanced generative systems by evaluating orchestration, system behavior, and task execution. We support projects focused on building multi-step agent capabilities and real-world workflow automation. Technologies: AI Backend Support Java JavaScript Python SQL More: We help the worlds most innovative companies improve their AI agents by providing human feedback and collaborating with leading AI organizations to train large language models to function as proactive, multi-step agents. Our work focuses on teaching systems how to design, coordinate, and optimize complex real-world architectural workflows, and we welcome both orchestration experts and experienced software developers to help us train advanced generative systems. This is an opportunity to contribute to cutting-edge AI projects shaping the future of autonomous agents. last updated 21 week of 2026

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