Agentic Systems & LLM Engineer
✨ AI Summary
We are seeking an engineer with a deep understanding of AI systems, focusing on agent architecture, model tuning, and ensuring AI reliability. This position involves collaboration with backend engineering teams to enhance the robustness and safety of our AI solutions. If you are passionate about researching and fortifying AI systems for practical applications, this opportunity is ideal for you.
Main Responsibilities:
- Develop and evaluate model fine-tuning pipelines
- Design agentic system architecture and orchestration
- Implement security practices for LLMs and agents
- Ensure observability of AI systems
- Conduct benchmarking and testing workflows
- Manage MLOps pipelines and utilize open-source tools
- Enhance reliability for agent workflows
Requirements:
- In-depth knowledge of modern LLM systems
- Experience in designing tool-using architectures
- Strong backend engineering skills
- Familiarity with AI system evaluation and testing
- Proficient with open-source AI tools
- Research-oriented and experimental mindset
Preferred Skills:
- Knowledge of LLM security patterns
- Experience with multi-agent systems
- Understanding of observability techniques
- Proficient in MLOps platforms
- Strong Python programming skills
