AI Engineer

About the Role

Zep is building the long-term memory layer for the LLM application stack. We have a large and active open-source community and recently launched our cloud service. We’re seeking an experienced AI Engineer to join our startup. As a critical member of our small, fast-paced team, you will design, implement, and maintain our Go-based APIs.

We are a remote-first organization. Zep is funded by YC, Engineering Capital, and angels such as Guillermo Rauch (Vercel).

Key Responsibilities:

• Lead the development, implementation, and optimization of LLM-based AI solutions
• Design and execute training strategies for LLMs, including data preparation and model fine-tuning
• Develop and implement rigorous testing and validation protocols for AI models
• Collaborate with cross-functional teams to integrate AI solutions into our products
• Stay current with the latest advancements in AI and LLM technologies
• Make critical decisions regarding AI architecture, model selection, and implementation strategies
• Manage end-to-end project lifecycles with minimal supervision
• Contribute to the company's AI strategy and vision

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
• Minimum 12-months experience advanced work with LLMs: agentic applications, advanced RAG, structured output, and more
• Minimum of 5 years of hands-on experience with machine learning, including training, testing, deploying, and validation
• Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Extensive knowledge of natural language processing techniques and architectures
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) for AI model deployment
• Comfortable with ambiguity and thrives in a fast-paced, evolving environment

Nice to Have

• Contributions to open-source projects, particularly LLM-related
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience with Go or TypeScript

Benefits

• Directly impact the development of the future LLM application stack
• Competitive salary and equity compensation
• Flexible work hours and remote work options
• Health, dental, and vision insurance
• Opportunities for professional growth and development
• Collaborative and inclusive work environment