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Senior Principal AI Engineer

🔥 34 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Rapid7's careers page, not through a job board

First seen by Remote Rocketship 34 minutes ago

Logo of Rapid7

Rapid7

1001 - 5000 employees

Founded 2000

🔒 Cybersecurity

Cybersecurity

Rapid7 is a cybersecurity company that provides a range of solutions designed to secure cloud, identity, and endpoint products. The company's Command Platform utilizes artificial intelligence to offer deep insights into cybersecurity threats and vulnerabilities. Rapid7's offerings include Managed XDR for continuous monitoring, detection, and incident response, as well as tools for attack surface management, vulnerability management, and threat intelligence. The company is known for its open-source projects like Metasploit and Velociraptor, which aid in vulnerability research and enhancing cybersecurity frameworks. Rapid7 also emphasizes community and culture, contributing to diversity, equity, and inclusion, and engages in public policy advocacy to strengthen cybersecurity on a broader scale. They serve over 11,000 global companies and deliver expert analysis on attack trends and emergent threats through Rapid7 Labs.

📋 Description

• Set the AI technical vision, architecture, and multi-year roadmap for LLM and agentic systems across Detection and Response and Exposure and Remediation • Define company-wide model strategy, including use of frontier or open-source models, fine-tuning, distillation, post-training, and investment in new capabilities • Lead complex, high-risk technical initiatives across multiple teams • Lead fine-tuning, distillation, and post-training of open-source LLMs on security data • Establish company-wide standards for context engineering, inference optimization, and evaluation • Make evaluations the release gate for every AI system Rapid7 ships • Lead optimization of LLM inference at scale while balancing quality, latency, and cost • Lead design reviews and resolve complex technical trade-offs • Prototype and build critical model, training, and inference code • Mentor and develop Principal, Staff, and Senior engineers • Build AI engineering talent depth across Rapid7 • Represent Rapid7’s AI engineering to executives, customers, and the external community • Influence product, platform, and business strategy • Shape strategic product and platform investments for AI-powered cybersecurity products

🎯 Requirements

• 14+ years of software or ML engineering experience • 2+ years building production LLM or agentic AI systems • PhD in Computer Science, Machine Learning, AI, or a related field preferred, or equivalent depth of expertise demonstrated through industry experience and technical contributions • Track record of building scalable, production-grade AI systems and shared platforms adopted across multiple products • Leading-edge expertise in LLMs, including transformer architecture, attention, tokenization, and positional encodings • Advanced PyTorch skills, including custom model code, mixed precision, and distributed training such as FSDP and DeepSpeed • Hands-on fine-tuning and post-training of open-weight LLMs, including full and parameter-efficient methods such as LoRA and QLoRA • Experience with distillation and preference or RL-based methods such as DPO and GRPO • Deep experience with context engineering, retrieval, memory, and context management for long-running agent workflows • Experience defining evaluation strategies and benchmarks for LLM and agent systems • Deep knowledge of inference optimization, including prefill and decode, KV-cache management, continuous batching, speculative decoding, and quantization • Experience serving models at scale with vLLM, SGLang, or TensorRT-LLM • Ideally experience with AWS and GPU kernel work using CUDA or Triton • Strong predictive AI, classical ML, distributed systems, and Python fundamentals • Ability to make transparent decisions between predictive AI, classical ML, and LLM approaches based on accuracy, latency, and cost • Recognition as an AI expert through publications, patents, open-source contributions, or industry engagement • Ability to influence technical and product decisions across the organisation • Ability to align Engineering, Product, and other functions on technical direction • Ability to work through ambiguity and evolving AI technology and threat landscapes • Alignment with Rapid7’s core values

🏖️ Benefits

• Flexible/remote work options indicated by Belfast and UK Remote locations • Opportunities for technical leadership and mentoring • Opportunity to influence strategic product, platform, and business strategy • Opportunity to work on greenfield AI innovation • Professional growth through shaping AI engineering capabilities • Collaborative, multi-dimensional team environment

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