Description

You will design and deliver applied data science applications with practical systems design tradeoffs.

This role is on-site.

Responsibilities

• Build and integrate applications using LLMs and structured retrieval approaches.
• Design LLM evaluation pipelines combining quantitative and qualitative methods.
• Apply AI engineering practices including context management and MLOps patterns.
• Explain and apply AI engineering principles to other engineers.
• Translate technical findings into clear guidance for stakeholders.

Required Skills

• 5+ years of applied data science experience.
• Strong Python programming skills.
• Experience with one or more of Swift, Ruby, or JavaScript.
• Hands-on experience integrating LLMs.
• Familiarity with vector databases, graph databases, or structured retrieval.
• Knowledge of MLOps patterns and evaluation methods.
• Strong technical communication skills.

Preferred Skills

• Experience with Hugging Face ecosystem (Transformers, Datasets).
• Experience with PyTorch for fine-tuning and lightweight model training.
• Familiarity with LangChain and MCP for model integration.

Key Skills

Education

Any Graduate