Zep AI (YC W24) logo

Senior AI Engineer

Zep AI (YC W24)

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.

Benefits
Extracted with AI

  • Vision insurance
  • Health insurance
  • Dental insurance
  • Flexible work hours
  • Remote work options
  • Opportunities for professional growth and development

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