AI/ML Engineer

Role overview

An AI/ML engineering role focused on systems that ship into real production environments rather than demo settings. The work spans the full machine learning stack, from data pipelines and model training through serving infrastructure and ongoing monitoring.

Responsibilities

- Design and implement machine learning pipelines for client projects - Train, evaluate, and deploy models across cloud infrastructure - Build the observability and monitoring layer that surrounds running models - Work with LLM APIs and fine-tuning workflows for production use cases - Contribute to architecture decisions on AI-native product builds

Requirements

- Solid foundation in ML fundamentals, beyond simply calling model APIs - Experience deploying models to production environments, not just running notebooks - Familiarity with orchestration frameworks such as LangChain or LlamaIndex - Python-first workflow paired with strong data engineering skills - Genuine curiosity about what AI can actually do in practice

Benefits and work setup

Full-time, remote position.