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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