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]”

Role Description As the Manager, Cyber Architecture, you will be an integral leader of the cybersecurity department while also collaborating with stakeholders across the university ecosystem, and reporting to the Director, Cyber Architecture and Engineering. This is a full-time exempt position, eligible for all of USC’s fantastic Benefits + Perks. This opportunity is remote. The Manager, Cyber Architecture manages the university’s overall security architecture, ensuring the integrity of IT systems and maintaining compliance with all applicable regulatory standards. Leads the specialized teams responsible for executing cybersecurity strategies in alignment with established architectural principles. Manages assessments and recommends security solutions at the enterprise or local level across the university. The Manager, Cyber Architecture will: - Manage assessments and recommend security solutions at the enterprise or local level across the university, including research security. - Design robust security systems and respond swiftly to potential vulnerabilities. - Provide key input with defined security architecture guidelines. - Provide technical security-related perspectives upon request. - Perform regular reporting on security metrics. - Lead the strategic development and execution of the university’s comprehensive security architecture, ensuring alignment with architectural principles. - Shape and influence security policies, perform thorough assessments, and advocate for enterprise-wide security solutions, emphasizing research security. - Direct specialized teams to implement security strategies effectively, fostering a culture of excellence and compliance. - Participate in staff management activities (e.g., hiring, coaching, training, performance reviews, pay actions, and promotions). - Offer recommendations to leadership on security monitoring and incident response strategies based on informed analysis. - Provide expert technical insights on security-related matters upon request, serving as a resource for the organization. - Collaborate with stakeholders to ensure the security architecture supports the university's goals and risk management strategies. - Maintain a forward-looking perspective on security trends and technologies, ensuring the architecture evolves to meet emerging threats and opportunities. - Ensure architecture evolves with changes in legal, regulatory, and technology environments that may affect operations, and communicate updates to senior management and staff. - Encourage a workplace culture where all employees are valued, value others, and have the opportunity to contribute through their ideas, words, and actions, in accordance with the USC Code of Ethics. Qualifications - 7 years of experience in security architecture design and network security and/or related fields. - A bachelor’s degree or combined experience and education as substitute for minimum education. - Extensive experience in security architecture design, with the ability to conceptualize and implement effective security frameworks. - Proven knowledge of network security technologies and solutions. - Understanding of cybersecurity best practices and the ability to apply them effectively. - Working knowledge of network security concepts and strategies, including fundamentals and attack strategies. - Familiarity with application frameworks, security concepts, and strategies, to allow for secure application environments. - Experience with Operational Technology architecture requirements and concepts. - Knowledge of modern data center technologies (e.g., virtualization, containerization, cloud computing, disaster recovery). - Technical expertise necessary to deliver enabling technologies and applications that support the university's objectives. - Ability to design, evaluate and document processes, leading teams in process review and improvement. - Understanding of Software Development Lifecycle (SDLC) and Infrastructure Development Lifecycle (IDLC) processes, integrating security considerations throughout. Requirements - 10 years of related experience. - A bachelor’s degree in information science or computer science or computer engineering or in related field(s); or combined experience/education as substitute for minimum education. - Proven leadership experience. - Experience in a university environment. - Familiarity with existing university security architecture. - Cyber certification (e.g., CISSP, GIAC, CISM). Benefits The annual base salary range for this position is $205,068.39 to $225,319.41. To support the well-being of our faculty and staff, USC provides benefits-eligible employees with a broad range of perks to help protect their and their dependents’ health, wealth, and future. These benefits are available as part of the overall compensation and total rewards package.

• Lead the adoption of ServiceNow and AWS-native AI capabilities • Identify opportunities where AI reduces manual effort and improves service outcomes • Design a repeatable, domain-aligned pattern as a Spotify Backstage Software Template • Architect production-ready MCP servers with integrated authentication and RBAC • Develop reference Python MCP servers for enterprise domains like Workday • Implement shared authentication libraries for Entra ID and OAuth flows • Build a tool-accuracy eval harness to validate LLM tool behavior in CI • Automate registration with AWS Bedrock AgentCore Gateway • Manage container deployment on AWS ECS Fargate using read-only filesystems • Deploy infrastructure-as-code using Terraform or CloudFormation • Instrument observability using OpenTelemetry tracing and structured JSON logging • Conduct technical design reviews and architecture governance • Transfer knowledge to the platform team through live sessions and documentation

Role Description We're looking for a Senior Fullstack Engineer AI-Enabled to join global, remote-first projects from LATAM. This role is designed for an engineer who already understands that modern software development is changing — and who actively uses AI as a core part of their engineering workflow. This is not about simply using Copilot. We're looking for a builder with strong product thinking, solid engineering fundamentals, and the ability to orchestrate AI tools such as: - Cursor - Claude Code - Agentic workflows - MCP servers - LLM-based development flows You'll work across the full product lifecycle, from architecture and backend services to frontend experiences, AI-assisted prototyping, testing, documentation, and production-ready delivery. Qualifications - 8+ years of hands-on experience in fullstack software engineering. - Strong experience with TypeScript, React, Next.js, Node.js, NestJS, and Python / FastAPI. - Solid understanding of software architecture, system design, APIs, databases, and scalable application development. - Advanced experience with PostgreSQL, ideally including pgvector or semantic search capabilities. - Experience with Redis or similar caching/data structure technologies. - Hands-on experience with cloud platforms such as AWS or Azure. - Familiarity with containers and orchestration tools such as Docker and Kubernetes. - Strong testing mindset, including experience with tools such as Playwright, Jest, Pytest, or similar. - Experience using AI-assisted development tools such as Cursor Agent Mode, Claude Code, Windsurf, or similar platforms. - Strong understanding of prompt engineering, context management, and AI-assisted software delivery. - Familiarity with RAG architectures, agent orchestration, LangGraph, CrewAI, or LLM API integrations. - Awareness of token usage, AI model costs, performance trade-offs, and privacy risks. - Strong judgment to evaluate, reject, or improve AI-generated outputs when needed. - English level B2/C1 for technical collaboration in global teams. Requirements - Lead end-to-end development of complete product features, from architecture and database design to polished user interfaces. - Build scalable, maintainable applications using modern fullstack technologies. - Use AI-assisted development tools to accelerate implementation, refactoring, test generation, debugging, and documentation. - Orchestrate AI agents and advanced development workflows while maintaining strong human review and technical accountability. - Design and maintain Model Context Protocol — MCP — servers to allow AI tools to interact securely with technical systems and business data. - Validate AI-generated code to ensure quality, security, performance, and maintainability before production deployment. - Collaborate with product, engineering, and business stakeholders to rapidly prototype and validate ideas. - Contribute to development standards, reusable AI workflows, and engineering practices that improve team productivity. - Work with cloud infrastructure, CI/CD pipelines, containers, and production environments. - Stay current with emerging AI development tools, LLM capabilities, software engineering trends, and security best practices. Benefits - Contractor agreement with payment in USD - 100% remote work - Argentina's public holidays - English classes - Referral program - Access to learning platforms