AI Engineer
Build and productionize AI-powered features, evaluations, and data and inference pipelines. The role requires Python web development experience, hands-on LLM or generative AI work, retrieval architectures, and an understanding of model quality, cost, and latency tradeoffs.
About the job
Responsibilities
- Build AI-powered features end-to-end, from prototype through production.
- Design and run evaluations to measure and improve model and feature quality.
- Build and maintain data and inference pipelines powering AI features in production.
- Experiment with new models, prompting, and retrieval approaches to improve accuracy and cost.
- Support and collaborate with teammates.
Requirements
- Experience with Python web development; Django experience is a bonus.
- Experience shipping AI features and understanding associated evaluation challenges.
- Hands-on experience with LLMs and generative AI, including prompting, fine-tuning, or retrieval-augmented generation (RAG).
- Familiarity with evaluation frameworks and measuring model quality in production.
- Familiarity with vector databases and retrieval-based architectures.
- Understanding of tradeoffs among model cost, latency, and accuracy.
Benefits and Compensation
- Competitive compensation and startup equity.
- Flexible time off.
- $1,200 annual learning budget.
- Catered lunch.
- Best workstation in the offices.
Skills
Python, Django, LLMs, Generative AI, Prompting, Fine-Tuning, Retrieval-Augmented Generation, Evaluation Frameworks, Vector Databases, Data Pipelines, Inference Pipelines, Model Evaluation, Web Development, Machine Learning
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