About the role
structured by ORIAll RolesOverviewJoin 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.What…
What you will do
- 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
What they are looking for
- 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
Nice to have
- Experience with LLM prompt optimization or agent systems
- Publications in top ML venues (NeurIPS, ICML, ICLR, etc.)
- Prior startup experience or entrepreneurial background
- Experience with distributed systems and cloud infrastructure
Full posting text
All RolesOverviewJoin 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.What You'll DoDesign and implement optimization algorithms (RL, genetic algorithms, search-based methods) for agent systemsWork directly with enterprise customers to understand their agent architectures and pain pointsBuild evaluation frameworks and benchmarks to measure agent performance improvementsCollaborate with the product team to translate research insights into scalable product featuresPublish technical blog posts and contribute to the broader AI communityHelp define the technical roadmap for Lucidic's optimization platformWhat We Look ForStrong background in machine learning, reinforcement learning, or optimizationExperience building and deploying ML systems in productionProficiency in Python and modern ML frameworks (PyTorch, JAX, etc.)
Excellent communication skills and ability to work directly with customersSelf-motivated with ability to thrive in an early-stage startup environmentNice to HaveExperience with LLM prompt optimization or agent systemsPublications in top ML venues (NeurIPS, ICML, ICLR, etc.)Prior startup experience or entrepreneurial backgroundExperience with distributed systems and cloud infrastructureAbout Lucidic AIWe build tooling that automatically evaluates and improves enterprise AI agents using search + learning loops across prompts, tools, and policies.
Our customers care about reliability, auditability, and measurable gains.Apply for this roleName *Email *LinkedIn URL *Resume Link *GitHub URL (optional)Anything else? (optional)Submit Application