Senior AI Engineer (LLMs / Agents)
Senior AI Engineer (LLMs / Agents)
Boston, Massachusetts (Hybrid / Remote)
$180,000 - $250,000 + Equity + Healthcare + PTO
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.
The Role:
• 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
The Person:
• 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
Boston, Massachusetts (Hybrid / Remote)
$180,000 - $250,000 + Equity + Healthcare + PTO
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.
The Role:
• 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
The Person:
• 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