We are looking for a hybrid AI Platform Engineer to lead the design of high-performance prompts and the development of custom AI agents and integrations across our internal platforms. Collaborating closely with our AI Platform Manager and functional business units, this role bridges the creative precision of prompt engineering with the technical fluency required to build and deploy powerful LLM-based tools using APIs, system integrations, and emerging AI infrastructure.
Key Responsibilities
- Prompt Engineering & Optimization
- Design, test, and refine prompts for general and use-case-specific applications.
- Evaluate and improve LLM output quality based on accuracy, latency, hallucination, and user satisfaction.
- Maintain a scalable prompt library with robust documentation and experimentation tracking.
- Custom Agent & GPT Development
- Build and maintain custom GPTs (via OpenAI) or Google Agents (Gemini, Vertex AI).
- Configure tools, memory, system prompts, and API-calling capabilities for agent workflows.
- Ensure agents follow internal data governance and compliance policies.
- API & Platform Integration
- Integrate LLM functionality into internal systems (e.g., dashboards, Slack, CRMs, internal portals).
- Work with APIs from OpenAI, Google Cloud, Azure, and others to create functional pipelines.
- Support rapid prototyping and deployment of AI features in close coordination with product and automation teams.
- Evaluation & Instrumentation
- Define key performance metrics (quality, reliability, usage patterns).
- Collaborate with data engineering to log, analyze, and visualize LLM performance.
- Implement feedback loops to continuously optimize prompt and agent behavior.
- Enablement & Documentation
- Provide tooling and guidance to business users and product teams for prompt-based workflows.
- Contribute to internal AI playbooks and best practices around prompt usage and API integration.
Requirements
- 3 - 5 years of experience in AI/ML, NLP applications, or full-stack product development
- Hands-on experience with OpenAI APIs, Google Cloud Vertex/Gemini, or similar platforms
- Strong experience with prompt engineering and LLM evaluation methods
- Proficiency in Python and working with APIs, JSON, and vector databases
- Familiarity with LangChain, LlamaIndex, or custom agent frameworks
- Excellent collaboration and communication skills
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What We Do
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.
Why Work With Us
With our products, research, and open source communities, we’re building a secure digital future for everyone. This means constantly learning and evolving in an industry that’s anything but stagnant. You’ll be faced with tough challenges, and given the support to find creative solutions that drive our business, and your career forward.
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Employees engage in a combination of remote and on-site work.
Our default working model is hybrid, with employees working three days per week in the office. This approach underpins our commitment to flexibility and adaptability while supporting our dedication to development, teamwork and customer purpose.
