AI/ML Engineer

Role overview This is an AI/ML engineering role focused on shipping models into real production environments rather than demos. The position spans the full ML stack: data pipelines, model training, serving infrastructure, and production monitoring. It is fully remote and sits at the heart of AI-native client builds.

Responsibilities - Design and implement ML pipelines for client-facing projects - Train, evaluate, and deploy models across cloud infrastructure - Build observability and monitoring for deployed models in production - 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 API wrappers - Hands-on experience deploying models to production environments, not just notebooks - Familiarity with orchestration frameworks such as LangChain or LlamaIndex - Python-first engineering with strong data engineering skills - Genuine curiosity about what AI can actually do in practice, beyond hype

Benefits and work setup - Fully remote, full-time engineering role focused on production AI systems - Exposure to varied client engagements across industries