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Текст:
Hirify AI/Оригинал
TL;DR
Lead AI Automation Engineer (Agentic AI/LLM): Building production-ready AI agents, retrieval pipelines, and internal automations for a dedicated AI Automation Hub with an accent on LLM orchestration, agent frameworks, robust pipelines, and cloud-native architecture. Focus on designing non-deterministic systems, evaluating LLM outputs, selecting cost-effective models, and turning emerging AI tooling into practical production solutions.
Location: Brighton HQ, United Kingdom. Full-time, permanent hybrid role.
Company
hirify.global operates a global platform for buying, selling, and trading used photography and videography equipment, with a focus on accessible and sustainable circular commerce.
What you will do
Design and ship production-ready agentic AI systems, including agents, retrieval pipelines, and internal automations.
Prototype AI solutions quickly through working demonstrations and take successful concepts into production.
Implement LLM orchestration, agent frameworks, robust backend pipelines, and integrations aligned with the agentic reference architecture.
Work with the AI Product Manager and Lead Decision & AI Scientist to evaluate use cases, models, and LLM outputs.
Coach teams across hirify.global that are experimenting with AI and share effective emerging-technology practices.
Requirements
Strong software engineering background with complex distributed systems shipped to production.
Hands-on experience with LLM orchestration, agent frameworks, RAG, and low-code automation tools such as n8n.
Confident coding skills in Python or Node.js.
Experience with cloud-native architecture on GCP or AWS, API management, and robust backend pipelines.
Structured, pragmatic approach to debugging non-deterministic systems.
Ability to explain complex technical ideas through practical demonstrations.
Nice to have
Experience defining evaluation frameworks for LLM outputs.
Degree in Computer Science, Engineering, or a related field, or equivalent experience.
Experience coaching or influencing teams without formal authority.
Track record of turning emerging AI tooling into practical opportunities.
Culture & Benefits
Opportunity to help build a new AI Automation Hub with substantial ownership and autonomy.
Peer-led, low-hierarchy environment with shared ownership.
Access to the Learning Lab and thousands of free courses.
Work on technology supporting more accessible and sustainable photography equipment commerce.
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