Description

You will develop and deploy AI applications using practical systems design principles.

Responsibilities

• Design and deliver end-to-end AI applications, making necessary systems design tradeoffs.
• Build and integrate applications utilizing Large Language Models (LLMs).
• Apply AI engineering practices (retrieval, context management, evaluation, MLOps) to engineering teams.
• Translate complex technical AI findings into clear guidance for other engineers.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python.
• Hands-on programming experience in one or more of Swift, Ruby, or JavaScript.
• Experience with vector databases or graph databases for structured retrieval.
• Familiarity with MLOps patterns and AI engineering practices.
• Experience implementing model integration frameworks like LangChain.
• Experience with PyTorch for model fine-tuning and training.
• Applied data science background (bootcamp or equivalent experience).

Preferred Skills

• Ability to design and execute experiments with clear hypotheses and baselines.
• Experience designing LLM evaluation pipelines combining quantitative and qualitative methods.
• Familiarity with the Hugging Face ecosystem.

Key Skills

Education

Any Gradute