SE-II AI Engineer - Agentic & Generative AI Experience: 2-5 years About the Team The AI Center of Excellence (AI CoE) brings together AI Engineers and Data Scientists to research, prototype, and deliver production-grade AI systems. Our mission is to leverage cutting-edge Generative AI, agentic frameworks, and LLM-powered solutions to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to build intelligent AI systems that operate autonomously, reason across complex security data, and continuously evolve. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment focused on learning, mentorship, and practical impact. If you're early in your AI engineering career and excited to build real-world agentic and GenAI systems in cybersecurity - this is your opportunity. The technologies we use include: - Python - core language for AI/ML engineering - LLM/GenAI toolchains: LangChain, LangGraph, HuggingFace Transformers - Agentic AI concepts: tool-calling, ReAct patterns, single and multi-agent workflows - RAG pipelines: vector databases, embedding models, basic retrieval strategies - AWS cloud ecosystem: Bedrock, SageMaker, Lambda, S3 - LLM observability & evaluation: Langfuse, Promptfoo (foundational exposure) - CI/CD for ML/LLM systems: GitHub Actions, Jenkins - Monitoring: CloudWatch, dashboards - Data science stack: scikit-learn, PyTorch, pandas, NumPy (supporting capabilities) About the Role Rapid7 is seeking an SE-II AI Engineer - Agentic & Generative AI to join our AI Center of Excellence as we expand our GenAI and agentic AI capabilities. This role is focused on building strong foundations in LLM engineering, contributing to agentic AI workflows, and growing into a well-rounded AI engineer in a production cybersecurity environment. This role is ideal for someone who is: - Developing hands-on skills in LLM orchestration, prompt engineering, and RAG pipelines - Gaining real-world experience with agentic AI patterns and AWS-based GenAI deployments - Building data science and ML fundamentals to complement AI-native work In This Role, You Will Agentic AI & LLM Systems - Contribute to building agentic AI workflows - tool-calling, basic agent loops, and LLM-driven automation under senior guidance - Assist in developing and maintaining RAG pipelines - document ingestion, chunking, embedding, and retrieval - Implement and iterate on prompt engineering - few-shot prompting, chain-of-thought, structured outputs - Work with LangChain / LangGraph for LLM orchestration and chaining tasks - Support LLM evaluation tasks - writing eval datasets, measuring output quality, running benchmarks - Contribute to observability and monitoring of LLM systems - latency, token usage, output quality dashboards - Deploy and test LLM-powered features on AWS Bedrock, Lambda, and SageMaker - Participate in prompt versioning and LLM CI/CD pipelines under guidance of senior engineers - Assist with guardrail implementation and output validation for production GenAI systems - Learn and apply agentic AI patterns - ReAct, tool-use APIs, and structured output parsing ML & Data Science - Work on data acquisition, cleaning, enrichment, and transformation for AI/ML pipelines - Build and evaluate supervised ML models (classification, regression) for security use cases - Apply unsupervised ML techniques such as clustering and anomaly detection - Contribute to malware detection and user behavioral models under senior guidance - Support model deployment on AWS SageMaker and monitor performance using established dashboards The Skills You'll Bring Core - Agentic AI & LLM (Required) - 2-5 years of experience in AI/ML engineering or software engineering with AI focus - Foundational hands-on experience with LangChain or similar LLM orchestration frameworks - Familiarity with prompt engineering concepts and techniques - Basic understanding of RAG pipelines - what they are, how retrieval works, and where they're applied - Awareness of agentic AI patterns - tool-calling, agent loops, ReAct - Exposure to LLM evaluation - understanding what good vs. bad LLM output looks like and how to measure it - Working knowledge of AWS Bedrock and/or SageMaker for AI/ML workloads - Strong Python skills and a learning-first mindset Data Science & ML - Working proficiency with pandas, NumPy, scikit-learn - Solid understanding of supervised and unsupervised ML, feature engineering, and model evaluation metrics - Exposure to deep learning frameworks (PyTorch / TensorFlow) - Basic familiarity with model explainability (SHAP, LIME) Advantageous - Exposure to cybersecurity, malware datasets, or threat detection domains - Hands-on experience with vector databases (FAISS, Pinecone, OpenSearch) - Familiarity with LLM observability tools - Langfuse, Promptfoo, or similar - Working knowledge of ML/LLM CI/CD pipelines - Basic understanding of multi-agent orchestration concepts About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what's possible and drive extraordinary impact. Here, we're building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever's next. Join us and bring your unique experiences and perspectives to tackle some of the world's biggest security challenges. #LI-SM5 - 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.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description As a member of our Solution Consulting team, you will have a major impact on our future success by supporting the Employee Experience, Customer Workflow, ITX Solution Sales. You will help guide revenue for one of our products with the support and partnership of Sales, Product Management, and the executive team. This is a hands-on technical consultant who can go wide and deep on solution delivery and solution positioning during sales cycles. What you get to do in this role: The Solution Consultant is a technical consultant with the advanced ability to develop, position and provide product-specific solutions during sales cycles while achieving quarterly and annual sales goals for an assigned territory. - Support product sales as a technical and domain expert of a client-facing sales team - Lead discovery workshops to determine customers' challenges and give product demonstrations to align our solution with customer needs - Answer product feature and technical questions from customers, channel partners and ServiceNow colleagues - Guide strategic programs in top accounts such as customer journey sessions for roadmap and outcome agreement - Provide feedback to product management about product enhancements that can address customer needs and guide additional value - Share and learn best practices and re-usable assets with other Solution Consultants to enhance the quality and efficiency of the team - Stay current on competitive analysis and market differentiation - Support marketing events including executive briefings, conferences, user groups, and trade shows Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 5+ years of pre-sales solution consulting or sales engineering experience - Proficiency with the ServiceNow platform or technical expertise with cloud software solutions - Experience working collaboratively with product management, product marketing, partners, and professional services - Territory management skills, including pipeline building and working with Sales counterpart to promote execution excellence - Willingness to travel FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .

Description and Requirements The Team You Will Join When you join MetLife's Global Technology team, you'll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You'll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life's most important moments. In this dynamic environment, you'll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward. The Opportunity The Composite AI Product Management & Enablement team is building a new AI product operating model for MetLife, coordinating delivery across multiple platforms and enablement teams. This role leads delivery coordination and portfolio operations across the program - tracking cross-team dependencies, managing delivery rhythm, and ensuring commitments are visible and moving. Scrum Leads and Portfolio Operations Specialists report directly to this role. Key Responsibilities - Lead delivery coordination across platform and enablement pods - tracking cross-team dependencies, managing risk escalations, and maintaining end-to-end delivery visibility - Serve as portfolio operations leader: own delivery cadence, PI-level planning activities, increment commitments, and metrics reporting across the program - Lead and develop a team of Scrum Leads and Portfolio Operations Specialists who report directly to this role and serve the portfolio - Partner with Product Management to align delivery sequencing with roadmap priorities and surface blockers early - Coordinate dependencies across internal pods and partner platform teams to reduce friction and maintain program momentum Required Qualifications - 10+ years in Agile program management, with demonstrated experience leading delivery across multiple concurrent teams or workstreams - Proven track record coordinating cross-team dependencies and managing delivery risk in complex, multi-platform environments - Strong agile delivery background with practical experience running portfolio- or program-level planning and cadence - Excellent facilitation, communication, and organizational skills; comfortable operating in ambiguity during a stand-up phase Preferred Qualifications - SAFe Release Train Engineer (RTE) or equivalent agile delivery certification - Experience in a product company or product-oriented platform delivery environment - Background in portfolio-level Agile or DevOps transformation within a large enterprise context - Deep hands-on experience with ALM and portfolio management tooling (e.g., Azure DevOps, Jira, Rally, Targetprocess, or equivalent) The expected salary range for this position is $140,000- $195,000 . This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics"). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.

Role Description As a Junior AI Automation Engineer , you’ll help build and improve a complete business automation system that connects customer communication, lead management, scheduling, finance, and internal operations. This role is designed for someone who is eager to learn, can follow clear specifications, and is comfortable working with APIs and automation workflows. You will build and deploy a complete business automation system from scratch. The stack centres on: - n8n (self-hosted) - Airtable - Claude API - Chatwoot - WATI (WhatsApp Business API) - Wave Accounting - Google Workspace APIs The system spans five operational domains and includes approximately 35 automation workflows across three service tiers. What You Will Do - Phase 1 — Infrastructure Setup (Days 1–2) - Provision and configure a VPS (Hetzner or DigitalOcean) with Docker. - Install and configure n8n self-hosted with authentication and HTTPS. - Deploy Chatwoot (self-hosted) and connect all communication channels. - Set up credential management and environment variables for all APIs. - Phase 2 — Core Automations (Days 3–14) - Build the WhatsApp inbound handler with Chatwoot webhook integration. - Implement Claude API integration for message classification and AI draft generation. - Build the Airtable database schema (Clients, Customers, Jobs, Quotes, Technicians, Conversations). - Develop lead scoring, missed-lead recovery, and quote follow-up sequences. - Build job notification flows to technicians with confirmation logic. - Implement no-show reminder system (24hr and 2hr pre-job). - Phase 3 — Revenue & Operations Automations (Days 15–21) - Integrate Wave Accounting API for invoice auto-generation. - Build payment reminder sequences (Day 0 / 3 / 7 / 14) with escalation logic. - Integrate Google Calendar API for scheduling and technician assignment. - Implement route optimisation via Google Routes API with daily technician briefings. - Generate weekly and monthly reports with Claude-written summaries. - Phase 4 — Retention & Intelligence Automations (Days 22–30) - Google review monitoring via Places API and AI-drafted reply workflow. - Customer retention sequences (90-day, 180-day re-engagement). - WhatsApp broadcast campaign system with opt-out compliance. - Seasonal maintenance reminders and greeting campaigns. - Competitor pricing monitoring via Google Maps and Carousell. - Annual service contract management with auto-scheduling. - Phase 5 — Internal Systems - VA performance dashboard with SLA monitoring and alert triggers. - Client onboarding automation (form → Airtable → system setup → VA assignment). - QA monitoring with sentiment detection and escalation alerts. - Monthly billing automation for FortePartner’s own client invoices. - Ongoing (Post-Build) - Monitor system health and resolve workflow failures promptly. - Update AI prompts based on quality feedback from the VA team. - Onboard new clients into the automation system as the business scales. - Build additional automations as the business grows. Qualifications - Must-Have Experience - n8n — hands-on workflow building, webhook handling, conditional logic, scheduled triggers, and error handling. - REST API integration — comfortable reading API docs and building HTTP request nodes independently. - Airtable API — able to read, create, and update records via API (not only UI). - LLM API integration — experience calling OpenAI/Claude (or similar) with structured prompts. - Linux VPS — set up Docker, manage services, configure HTTPS, and troubleshoot server issues. - WhatsApp Business API — experience with WATI, 360Dialog, or similar BSP. - Strong Advantage - Chatwoot — self-hosted deployment and inbox configuration. - Google Workspace APIs — Calendar, Gmail, Places, Routes. - Wave Accounting API — invoice and transaction management. - Multi-tenant automation design — one workflow serving multiple clients with different configurations. - Prompt engineering — system prompt design for consistent AI output quality. Working Style - Comfortable working from detailed written specification without hand-holding. - Proactive communicator — flags blockers early and asks the right questions. - Delivers working builds — tests flows end-to-end before marking tasks done. - Documents clearly so a non-technical team can understand the logic. - Available for a daily async check-in during the 30-day build phase. Good to Have - Prior work with home service businesses, field service management, or similar SMB verticals. - Experience building automations that support VA teams or BPO operations. - Familiarity with Singapore-specific tools (PayNow, Carousell, SingPass-connected services). - Make.com experience (as a fallback if self-hosted n8n is not feasible). - Basic frontend or form-builder skills for lightweight client-facing tools. Engagement Details - Phase 1 Deliverable : Full automation system live and tested within 30 days. - Ongoing Retainer : Monthly agreement for maintenance, new automations, and scaling support. - Communication : Async-first via WhatsApp or Slack; video calls for scoping and reviews. - Handover / IP & Confidentiality : All n8n workflow exports, Airtable schema docs, and setup notes required; NDA and IP assignment required before project commencement. - Payment Terms : Milestone-based for Phase 1; monthly for retainer. Ready to Make an Impact? Apply now at https://asiacruit.com or send your resume to careers@asiacruit.com with the subject line: “Junior AI Automation Engineer – [Your Name]”