## AI Engineer
### About Us
We are Lleverage.ai and we make AI automation genuinely accessible to businesses. We enable teams to deploy AI-driven workflows and agents within their organisation, because AI is only useful if it truly fits into daily operations.
### 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, optimised 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 optimise our RAG-based knowledge retrieval systems
- Production Monitoring: Implement monitoring and alerting systems for AI models in production environments
- Iterate Fast: Contribute to rapid feedback loops — ship quickly, learn and improve
- Value Delivery: Continuously evaluate how engineering decisions impact customer value and business outcomes
### Requirements
- Deep experience with generative AI models, fine-tuning and model deployment in production environments
- Proven experience building AI agents with function calling and tool use implementations
- Proven experience implementing evaluation frameworks and metrics for large language models
- Experience with Retrieval Augmented Generation architectures and vector database implementations
- Strong proficiency in TypeScript, Next.js or similar for end-to-end experiences
- First Principles thinker: approach AI challenges by understanding core mechanisms rather than only applying existing frameworks
- Startup mentality: comfortable with ambiguity and enthusiastic about working in a fast-paced, AI-focused environment
- Passion for pushing the boundaries of what is possible with generative AI in business automation