Senior Machine Learning Engineer (AI / LLM Systems)

Overview

As a Senior ML Engineer, you will design and operate production-grade ML systems powering an AI product focused on long-running workflows and decision-making. You’ll own end-to-end ML pipelines, from training to inference, with emphasis on reliability and real-world performance. You’ll work with LLM-based systems and agent-style workflows, optimizing for latency, cost, and stability. This role offers ownership, fast iteration, and the chance to shape how production AI behaves under real usage. You’ll collaborate with a small, capable team in a remote-first environment to deliver robust, scalable ML solutions.

Pay / Benefits

• remote work
• flexible compensation
• equity

Responsibilities

• Build and operate training, inference, and evaluation pipelines
• Develop LLM-based systems and agent-style workflows
• Debug model behaviour using real-world signals
• Optimize performance across latency, cost, and reliability
• Implement production monitoring, logging, and system stability
• Own end-to-end pipelines from training to inference
• Conduct continuous evaluation and iterative improvement
• Ensure systems perform reliably under real usage conditions

Key requirements

• Shipped ML systems used by real users
• Owned ML systems end-to-end in production
• Experience with modern LLMs beyond simple API integration
• Exposure to model behaviour debugging, latency, throughput, and cost optimization
• Experience with monitoring, observability, and evaluation frameworks
• Experience scaling ML systems in production environments

• ownership
• pragmatic decision-making
• fast iteration
• Python
• PyTorch
• LLM ecosystem (OpenAI, Anthropic, etc.)

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