Join Lucidic AI as a Founding Applied Research Engineer to develop and deploy cutting-edge optimization algorithms for enterprise AI agents. You will work directly with customers to understand their agent systems and build solutions that measurably improve accuracy, reliability, and performance. Responsibilities • Design and implement optimization algorithms (RL, genetic algorithms, search-based methods) for agent systems • Work directly with enterprise customers to understand their agent architectures and pain points • Build evaluation frameworks and benchmarks to measure agent performance improvements • Collaborate with the product team to translate research insights into scalable product features • Publish technical blog posts and contribute to the broader AI community • Help define the technical roadmap for Lucidic's optimization platform Qualifications • Strong background in machine learning, reinforcement learning, or optimization • Experience building and deploying ML systems in production • Proficiency in Python and modern ML frameworks (PyTorch, JAX, etc.) • Excellent communication skills and ability to work directly with customers • Self-motivated with ability to thrive in an early-stage startup environment