Senior AI Engineer

Are you a Senior AI Engineer with experience building production-grade LLM systems looking to take ownership of autonomous, multi-agent architectures within a high-growth cybersecurity AI start-up?

This is an opportunity to join a fast-growing AI company developing next-generation autonomous offensive security platforms. You will join a specialized AI engineering team and play a critical role in advancing their flagship platform, moving the needle on complex problems like exploit chaining, multimodal vision, and co-evolutionary self-training loops.

In this role, you will design, implement, and optimize highly sophisticated multi-agent architecture, while contributing directly to model fine-tuning and production scalability. Working closely with engineering leadership and cross-functional teams, you will transition advanced multi-agent systems from cutting-edge experimentation into robust, production-ready enterprise solutions.

This role would suit an AI Engineer who enjoys solving deep, technical agent-orchestration challenges and wants to be a foundational builder of autonomous, self-improving security systems., * 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

Do you have experience in System performance optimization?, * Experience building production ML systems, with a strong focus on LLMs or LLM-powered agents

• Strong Python programming alongside PyTorch and Hugging Face
• Experience with Supervised Fine-Tuning, preference optimization, and synthetic data generation
• Experience shipping multi-agent or tool-using LLM systems to production
• US Citizen

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.