LLM Systems Engineer | Remote

Crossing Hurdles; United States; Remote; USD 350,000 - 500,000; Full time

Job summary

Crossing Hurdles is seeking a Member of Technical Staff, Forward Deployed (US Gov) for a remote, full-time role. You will build data pipelines for model training and research workflows, and design RL environments for experimentation.

You will scale model inference systems, implement SDKs across frontier AI platforms, and construct agentic systems with security and reliability at the forefront.

Qualifications

• Experience as a Python engineer with end-to-end ownership of projects.
• Experience with large language models and agentic systems (LangChain or LangGraph).
• Built or maintained data pipelines and machine learning infrastructure.
• Familiarity with reinforcement learning workflows or simulation environments.
• Experience with distributed systems or scaling inference processes.
• Comfortable operating in high-security and high-reliability environments.

Responsibilities

• Build and maintain data pipelines for model training, evaluation, and research workflows.
• Design and run reinforcement learning environments for experimentation and training.
• Develop and scale model inference systems to enhance performance and reliability.
• Implement and maintain software development kits and integrations across frontier AI platforms.
• Construct agentic systems using modern large language model stacks, ensuring security and reliability.
• Transition systems from prototype to production while maintaining high standards of reliability and security.

Skills

Python

LangChain

LangGraph

Data pipelines

ML infrastructure

Reinforcement learning

Distributed systems

Security/compliance

Job description

Position: Member of Technical Staff, Forward Deployed (US Gov)

Type: Full-time

Compensation: $350K - $500K/yr

Location: Remote

Role Responsibilities

• Build and maintain data pipelines for model training, evaluation, and research workflows.
• Design and run reinforcement learning environments for experimentation and training.
• Develop and scale model inference systems to enhance performance and reliability.
• Implement and maintain software development kits and integrations across frontier AI platforms.
• Construct agentic systems using modern large language model stacks, ensuring security and reliability.
• Transition systems from prototype to production while maintaining high standards of reliability and security.

Requirements

• Have strong experience as a Python engineer with end-to‑end ownership of projects.
• Have experience with large language models and agentic systems, such as LangChain or LangGraph.
• Have built or maintained data pipelines and machine learning infrastructure.
• Be familiar with reinforcement learning workflows or simulation environments.
• Have experience with distributed systems or scaling inference processes.
• Be comfortable operating in high-security and high-reliability environments.