Senior ML Engineer: Multi-Agent LLM Platforms

Rise Technical; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Rise Technical is seeking a Senior ML Engineer to own autonomous, multi-agent architectures within a high-growth cybersecurity AI startup. You will design, implement, and optimize production-grade LLM systems, and work closely with leadership to advance the flagship platform.

You will contribute to model fine-tuning and data curation, and help deploy scalable agent systems in Kubernetes, with a focus on latency and throughput optimizations for real-time security applications.

Qualifications

• Experience building production ML systems with LLMs.
• Strong Python, PyTorch, and Hugging Face.
• Experience with Supervised Fine-Tuning, preference optimization (DPO/GRPO).
• Experience shipping multi-agent or tool-using LLM systems to production.

Responsibilities

• Design and improve multi-agent architectures, planning loops, and tool-use
• Contribute to model training via data curation, Supervised Fine‑Tuning, and preference optimization (DPO/GRPO)
• Build evaluation harnesses to track model and agent performance
• Optimize inference for latency and throughput using vLLM or TensorRT-LLM
• Deploy and scale production agents within Kubernetes environments

Skills

LLM agents

Agent orchestration

Model fine-tuning

Latency optimization

Tools

Python

PyTorch

Hugging Face

Kubernetes

vLLM

TensorRT-LLM

Job description

Rise Technical is seeking a Senior ML Engineer to own autonomous, multi-agent architectures within a high-growth cybersecurity AI startup. You will design, implement, and optimize production-grade LLM systems, and work closely with leadership to advance the flagship platform.

You will contribute to model fine-tuning and data curation, and help deploy scalable agent systems in Kubernetes, with a focus on latency and throughput optimizations for real-time security applications.