About the Team The AI Center of Excellence is a multidisciplinary group of Data Scientists and AI Engineers who partner with Detection and Response teams to turn cutting-edge research into real-world security products. We leverage LLMs, agentic workflows, and behavioral modeling to stay ahead of evolving threats and ensure our customers remain secure. About the Role As a Senior Software Engineer - Data Science, your primary responsibility will be to drive the end-to-end delivery of ML and LLM-based solutions on AWS. Specifically, your focus will be to: - Design and implement sophisticated ML pipelines for security use cases, including malware detection and user behavioral analytics. - Architect and maintain RAG pipelines and agentic AI workflows using toolchains like LangChain and LangGraph to automate complex security tasks. - Optimize and deploy models within the AWS ecosystem, utilizing SageMaker and Bedrock while ensuring robust monitoring, drift detection, and retraining workflows. - Collaborate and mentor across the team to establish architectural standards, conduct code reviews, and support the technical growth of junior engineers. The skills and qualities you'll bring include: Core Skills - Technical Ownership: Ability to take a project from a conceptual prototype to a high-quality production system. - Analytical Problem Solving: Expertise in applying scientific computing and statistical modeling to unlabeled, large-scale data. - Continuous Learning: A proactive approach to mastering emerging technologies in LLMs, Generative AI, and agentic systems. Functional Skills - Python Proficiency: Advanced experience with numpy, pandas, and scientific computing libraries. - Machine Learning Frameworks: Hands-on expertise with scikit-learn and Deep Learning frameworks (PyTorch or TensorFlow). - Generative AI Toolchains: Proven experience with HuggingFace, Transformers, LangChain, and LangGraph. - Cloud Infrastructure: Strong experience deploying and operating ML workloads on AWS (SageMaker, Bedrock, Lambda, EKS). - Vector Databases & RAG: Practical experience designing and tuning Retrieval-Augmented Generation pipelines. - MLOps & CI/CD: Proficiency in managing model registries, versioning, and automated deployment via GitHub Actions or Jenkins. - Security Domain Knowledge: Familiarity with threat detection, malware behaviour, or cybersecurity analytics. - Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME. - LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. #LI-AK1 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.

Title: Staff Engineer - AI Location: New York, NY Full time Job requisition id JR101050 Job Description: About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. About The Opportunity As a Staff Engineer in our AI and Robotics org, you will build a food agent, a personalized meal planning and nutrition product that blends LLM-driven recommendations, health-aligned goal setting, and agentic ordering. You'll shape technical strategy, make key architectural calls, and personally drive high-complexity work from design through production. This role is for someone who has built AI agents and LLM-powered products before, ideally as a founder, founding engineer, or early-stage technical leader, and who is deeply curious about how these systems actually behave at scale. This is not a planning role: you'll write code, review code, and ship code every day. The Impact You Will Make - Define and drive the technical roadmap for our AI food agent, spanning recommendation, personalization, agentic ordering, and health-aligned meal planning - Architect and scale distributed infrastructure for real-time retrieval, vector search, multi-modal inference, and LLM orchestration. - Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines, model serving, prompt orchestration, RAG, fallback logic, and evaluation frameworks - Establish evaluation and experimentation infrastructure: evals, benchmarks, scoring criteria, A/B testing pipelines, and feedback loops that make the AI measurably better over time What You Bring to the Table - 8+ years of professional software engineering experience, with at least 3 years building and shipping AI or ML-driven systems in production - Deep distributed systems expertise. You've architected infrastructure that handles high-throughput, low-latency workloads at scale - Hands-on experience building AI agents, LLM-powered features, or agentic workflows in production. You've worked with retrieval pipelines, prompt orchestration, embedding-based systems, and model evaluation - Prior experience as a founder, founding engineer, or early-stage technical leader at a startup. You know what it takes to build from zero with limited resources - Proficiency with backend development frameworks and cloud infrastructure. Familiarity with Python, TypeScript, and modern ML tooling - Strong system design skills with a track record of shipping scalable, production-grade software under real constraints - A degree in Computer Science, Data Science, or a related technical field (or equivalent experience) Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. #LI-Hybrid New York: $225,000 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

• Diseñar y desarrollar copilotos de IA para Dev/QA y soluciones RAG sobre repositorios . • Construir agentes de automatización para procesos como post‑sales, claims, deliveries y suppliers. • Implementar controles de seguridad y gobernanza de IA (permisos, costos, evaluación y trazabilidad). • Crear bases de conocimiento, RAG y estrategias de despliegue . • Medir impacto en negocio a través de KPIs como TTR, SLA y reducción de retrabajo.

Design and develop AI-driven applications to enhance engineering workflows, optimize data pipelines, and mentor software engineers while ensuring high-quality code and collaboration with cross-functional teams to deliver innovative solutions.