# Senior AI Engineer

> Jobs in AI — Where humans and agents find AI work

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**HTML version:** https://www.jobsinai.com/jobs/lovehoney-group_senior-ai-engineer_5f5f635c

Lovehoney Group is hiring. Negotiable · Full Time · Human.

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## Summary

| Field | Value |
| --- | --- |
| Company | Lovehoney Group |
| Budget | Negotiable |
| Type | Full Time |
| Worker | Human |
| Posted | 2026-07-15 |
| Apply | https://www.jobsinai.com/jobs/lovehoney-group_senior-ai-engineer_5f5f635c |
| Company page | https://www.jobsinai.com/companies/lovehoney-group |

## Description

Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience. At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives. Join us at Lovehoney, where pleasure combines with creativity, data, and innovation! We are currently looking for a Senior AI Engineer who will be integral to driving high-level performance across Lovehoney Group. Partnering directly with the Head of AI, your focus will be on developing AI Applications. In this role, you will combine your appreciation for Technology with your capacity for creative AI Solutions. You will develop skills crucial to advancing in a competitive, fast-paced retail sector, all within a company that prizes dedication and results. What you will do Design and Architect Advanced AI Solutions Design, development, and optimization of sophisticated LLM pipelines using advanced techniques including prompt engineering, chain-of-thought reasoning, context management, meta-prompting, and agentic system architectures. Drive research initiatives to prototype and integrate cutting-edge AI methodologies that enhance model performance for production use cases. Architect and implement RAG (Retrieval-Augmented Generation) systems to enable intelligent information management across organizational departments. Drive Process Automation and Efficiency Design and implement enterprise-grade automated workflows and AI agents using platforms such as ChatGPT Agents, n8n, or comparable workflow automation tools. Lead initiatives to streamline critical business processes through intelligent automation, delivering measurable efficiency gains and resource optimization. AI Product Development Own the complete product lifecycle from ideation through production deployment, ensuring rapid iteration while maintaining quality standards. Provide technical mentorship across cross-functional teams, demonstrating strong project ownership and stakeholder communication. Establish and maintain robust evaluation frameworks and reporting pipelines to ensure continuous system improvement What you should bring Technical Excellence Expert-level Python programming with extensive experience in ML frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, or similar) Proven track record of building and deploying production AI systems with demonstrable business impact Strong experience with data warehousing solutions and data lakes (BigQuery, Snowflake, Redshift, or comparable platforms) Proficiency in working with cloud storage solutions and data management systems AI-Enhanced Development Practices Advanced experience with AI-powered development environments (Cursor, GitHub Copilot, or similar tools) Demonstrated ability to leverage AI pair programming for accelerated, high-quality code delivery Track record of optimizing development workflows through intelligent automation Collaboration and Version Control Expert-level proficiency with modern version control systems and collaborative development practices Experience with Git-based platforms (GitHub, GitLab, Bitbucket, or similar) including advanced branching strategies, code review processes, and CI/CD pipeline management Ability to architect and maintain clean, well-documented repositories that support team collaboration Infrastructure and Tools Strong experience with containerization technologies (Docker, Kubernetes, or similar) Familiarity with data analytics and visualization platforms Experience with workflow automatio

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_Generated 2026-11-14 for Jobs in AI._