Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Founding Applied Research Engineer
- Location
- San Francisco
- Type
- Full time
- Posted
- 18D AGO
About the role
All Roles
Founding Applied Research EngineerSan Francisco, CA · Full-time · On-site
Apply NowOverview
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.
What You'll 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
Help define the technical roadmap for Lucidic's optimization platform
What We Look 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
About Lucidic AI
We 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.
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