AI Engineer
LLEVERAGE
| Company | LLEVERAGE |
| Category | Engineering |
| Location | Amsterdam |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (recruitee) |
Description
About us Hey there! We’re Lleverage.ai, and we’re making AI automation actually achievable for businesses. We enable teams to capture, automate, and integrate AI-driven workflows and agents into their business, because AI is only useful when it actually fits into daily operations. We’re a team of entrepreneurs and innovators, who believe the future of work is 80% creativity, strategy, and human interaction, because AI takes care of the rest. If that sounds something you want to help build, we’d love to have you on board! Responsibilities AI Agent Development: Build intelligent agents and enhance Lleverage Copilot to automate workflows through natural language interfaces. Model Evaluation: Implement evaluation frameworks and metrics to measure AI model performance and business alignment. Model Fine-tuning: Design fine-tuning strategies for generative AI models, optimising for specific product use cases. Full-Stack Development: Build backend APIs and frontend interfaces around AI models using Next.js/TypeScript. Knowledge Base Development: Develop and optimize our off the shelf RAG-based knowledge retrieval systems. Production Monitoring: Implement monitoring and alerting systems for AI models in production environments. Iterate Fast: Contribute to fast feedback loops — release quickly, learn, and improve. Value Delivery: Constantly assess how engineering decisions impact customer value and business outcomes. Job specific requirements AI Expertise: Deep experience with generative AI models, fine-tuning, and model deployment in production environments. AI Agents & Function Calling: Proven experience building AI agents with function calling and tool use implementations. LLM Evaluation: Proven experience implementing evaluation frameworks and metrics for large language models. RAG & Knowledge Systems: Experience with Retrieval Augmented Generation architectures and vector database implementations. Developer Skills: Good familiarity proficiency in TypeScript, Next.js or similar to build end-to-end experiences. First Principals Thinker: Approach AI challenges by understanding core mechanisms rather than just applying existing frameworks—able to innovate beyond current best practices. Startup Mentality: Comfortable with ambiguity and excited to work in a fast-moving, AI-focused environment. AI Innovation: Passionate about pushing the boundaries of what's possible with generative AI in business automation. Nice to haves Strong proficiency in TypeScript, Next.js. Previous experience at early-stage startups or as a founding engineer Background in SaaS or low-code platforms Contributions to open source projects A carry-on ice cream bar (it's becoming our thing) We offer You are ready for the ride of a lifetime with experienced entrepreneurs and innovators who aim for hyper growth on a global scale. We look for an enormous drive and hands-on mentality. Somebody who can work with us in creating the best AI automation solution out there! We offer a good salary, a highly experienced (and very entertaining...) team and considerable share packages.
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