Principal AI Engineer - AI Centre of Excellence We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7's AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account. About the Team The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. About the Role The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques-conventional machine learning, deep learning neural networks, or generative and agentic AI. You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you'll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further. You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7's AI innovation. In This Role, You Will: - Develop and ship AI systems with a focus on delivering customer value. - Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives. - Take ownership of multiple projects as the principal go-to expert. - Act as a first-class stakeholder throughout the AI R&D process. - Build strong cross-functional relationships with engineering, UX, product management, and customer research teams. - Mentor colleagues with less experience, acting as a trusted technical resource. The Skills You'll Bring Include: Technical Expertise - Significant hands-on experience in applied AI, able to independently design and build AI models and systems. - Strong Python skills and practical expertise with: - scikit-learn for conventional ML and data science. - PyTorch, TensorFlow, or Keras for deep learning. - AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions. - CrewAI (or similar frameworks) for agentic AI projects. - Pandas/NumPy for data processing and transformation. - Intuition for selecting the right models and approaches for different use cases. - Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable. Personal Attributes - Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges. - Bias for action and delivery, balancing speed with care. - Ability to thrive in a fast-paced environment, juggling multiple projects effectively. - Natural leader and collaborator, helping peers grow as problem solvers and communicators. - Curiosity and passion for continuous learning and self-development. - Open-minded approach, valuing feedback and new ideas from colleagues. - Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly. #LI-WP1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.

About Us At Hiya, we're making calls safe, useful, and human again. Voice is the most human form of communication, yet it's become one of the least trusted. Spam, scams, and AI manipulation have eroded what was once a simple way to connect. Each month our AI voice technology analyzes 28+ billion calls, protecting over 550 million users and 800+ businesses worldwide. Partnering with a growing global network including, AT&T, Samsung, British Telecom EE, Rogers, MasOrange,Bell Canada, MasMovil, and Virgin Media O2, we're not just stopping bad actors, we're helping people feel good and confident about picking up the phone again. This is a pivotal moment for voice. As new threats and technologies accelerate, so does demand for trusted voice communication. Hiya is growing 40%+ year over year, expanding globally, and defining what voice becomes next. Join us. You won't just work on what voice is today, you'll shape what it becomes tomorrow: smarter, safer, and genuinely worth answering again. About the Position AI Engineers are responsible for developing and integrating AI solutions into Hiya’s products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence. What You’ll Do - Integrate AI solutions into existing products and workflows - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions - Conduct model evaluations, prompt engineering, and fine-tuning of large language models (LLMs) - Implement and manage AI orchestration, including agent-based systems - Participate in the design and implementation of AI-powered applications and interfaces - Help shape the technical direction and best practices for LLM application development - Stay at the forefront of AI research and incorporate state-of-the-art techniques What You’ll Need to Succeed - Proficiency in programming languages such as Python, JavaScript, or TypeScript - Experience working with foundational model APIs and pre-trained open source models - Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning - Familiarity with AI orchestration and agent-based systems and best practices (LangChain, AutoGen, n8n) - Excellent problem-solving skills and the ability to work independently and collaboratively. - Strong communication skills and the ability to translate technical concepts to non-technical stakeholders The person in this role must embody Hiya’s key values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up with a point of view, engaging in open discussion, listening respectfully to others opinions and committing to decisions. You will have a fast start if you have experience: - Experience with cloud platforms such as AWS, Google Cloud, or Azure - Knowledge of Kubernetes and containerization technologies - Experience with data science and ML engineering - Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you. More Details The salary range for this role is between $134,000-$262,000. When determining compensation, a number of factors will be considered: skills, experience, job scope, location, and competitive compensation market data. - Start Date: Immediately - Status: Full-time - Type: Hybrid - Location: Seattle, WA - Travel Requirements: - Department: Engineering - Reports to: VP of Engineering Benefits - Equity compensation - 401K program with 3% match through Fidelity Investments - Self managed vacation plan - Paid Holidays - Medical, dental, and vision for the employee and 50% coverage for dependents - Flexible spending, health savings accounts and Pretax dependent day care savings plan - Paid parental leave - Voluntary Life and AD&D, and Accident insurance options - Employer-paid life insurance - Employer-paid long-term disability coverage (in qualifying states) - Donation Matching for a charity of your choice (up to $1,000/ year) - $1,000/year reimbursement in Professional Development funds This position is based in Seattle, WA, USA. We are building a team with a variety of perspectives, identities, and professional experiences. We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career. Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come join us!

• Work closely with customers to understand LLM deployment needs and solve technical problems in production • Debug issues end to end across application behavior, AI API integrations, infrastructure, and model and provider performance across OpenAI, Anthropic, Gemini, and open source models • Build product features, internal tools, and platform improvements based on patterns you see in the field • Improve multi-provider routing, LLM reliability, AI observability, latency, and token cost efficiency across multiple LLM providers • Help customers reduce AI infrastructure costs, navigate rate limits, and architect for provider failover and redundancy • Partner closely with founders on customer deployments, product direction, and technical strategy

• Be a primary contributor to our AI strategy, helping design and productize AI-powered solutions • Dive into massive datasets with the autonomy to choose what you work on and the ownership to turn ideas into real-world results for our clients. • Serve as an expert sounding board on approaches and techniques for integrating LLMs into production applications • Work in partnership with product management to drive compelling AI solutions and features • Continuously explore and implement innovative approaches using frontier AI models to solve complex business challenges