Role Description We are looking for a mid-level AI/ML Software Engineer to join our Advanced Development team in Singapore. This role focuses on building intelligent security solutions powered by LLMs and modern AI frameworks. You’ll work closely with senior engineers and researchers to implement key modules in threat modeling automation, vulnerability detection, and AI-enhanced regulatory compliance. This is an excellent role for a technically strong engineer with applied ML experience who wants to contribute to real-world cybersecurity products and grow into a senior AI engineer or team lead. What You’ll Do - AI Application Development - Develop backend logic for AI-driven security features, such as automated TARA workflows and threat detection agents. - Build and maintain inference pipelines using LLMs (OpenAI, Claude, Cohere, etc.). - Write prompts and fine-tune model inputs to align with security analysis tasks. - Work on AI-based decision trees and reasoning engines for compliance enforcement. - System Integration & Backend Engineering - Integrate AI modules into FS's broader application stack (APIs, databases, security tools). - Build clean, reusable code for model orchestration, pre/post-processing, and storage. - Collaborate with frontend developers on model UI and results visualization. - Participate in code reviews, testing, and deployment planning. - Cross-Team Collaboration - Pair with security researchers and data engineers to align on logic and datasets. - Support product releases by maintaining technical documentation and internal demos. - Contribute to internal tools for benchmarking, model monitoring, or prompt management. Qualifications - 2–4 years of experience in backend or full-stack software development. - Proficiency in Python, with experience using ML/NLP frameworks (e.g., LangChain, Transformers, OpenAI API). - Solid understanding of API design, microservices, and RESTful service development. - Experience deploying ML models into production workflows. - Familiarity with Git, Docker, and CI/CD workflows. - Experience working on AI or automation in security, DevSecOps, or compliance. - Exposure to basic cybersecurity principles, SBOM, or threat modeling. - Knowledge of graph databases or reasoning over security metadata. - Interest in growing toward technical leadership or product ownership. Your 90-Day Success Path - 30 Days: Ship small full-stack features in our Next.js + Supabase stack; learn our security and data architecture; demonstrate effective use of AI tools + agentic workflows in your day-to-day work. - 60 Days: Own and deliver secure, high-impact features end-to-end; contribute to schema and API design; help refine patterns for RLS, migrations, edge functions, and internal AI/agent tooling. - 90 Days: Lead new initiatives, drive improvements in performance and security posture, shape our full-stack and AI-native architecture, and mentor peers on Next.js, Supabase, and AI-accelerated development. Benefits - Investment: We offer learning stipends to support your professional development. - Equity: We offer equity so you can share in our growth and success. - Help solve some of the most pressing cybersecurity challenges facing connected device manufacturers and the millions of people who depend on them. Company Description At Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers. - We move with urgency and intent — we’re transparent, own outcomes, put customers first, speak up, and learn fast — turning evidence into action. - CLARITY is how we move fast without breaking trust. - Bold Innovation – We push boundaries, explore new ideas, and take initiative to solve complex problems.

Role Description Legal Soft is hiring a Claude AI Agent Developer to design, build, and deploy a suite of 20 autonomous AI agents that replicate the functions of our Marketing department staff. This is a hands-on engineering role requiring deep proficiency with the Anthropic Claude API, multi-agent system design, and tool-use orchestration. You will work directly with the Head of Marketing to understand each staff role, translate those responsibilities into agent logic, and deliver production-ready agents that automate our marketing operations end-to-end. Key Responsibilities: - AI Agent Architecture & Development - Design and build 20 role-specific AI agents using the Anthropic Claude API (claude-sonnet / claude-opus) that replicate the day-to-day tasks of Marketing department staff. - Implement multi-agent orchestration — defining how agents communicate, hand off tasks, and collaborate across workflows. - Build tool-use integrations enabling agents to take real actions: querying HubSpot, sending reports, analyzing data, drafting content, and triggering workflows. - Develop agent memory and state management strategies so agents maintain context across sessions and tasks. - Role Replication & Staff Shadowing - Interview and shadow current Marketing team members to document their responsibilities, decision logic, and outputs. - Translate documented workflows into agent system prompts, tool definitions, and behavioral constraints. - Ensure each agent accurately replicates the quality, tone, and judgment of the staff member it is designed to replace or assist. - Tool & Integration Development - Build and maintain API integrations between Claude agents and core platforms: HubSpot CRM, internal reporting systems, and communication tools. - Develop custom tools and function-calling schemas that agents use to retrieve data, execute tasks, and escalate decisions. - Implement web search and retrieval-augmented generation (RAG) where agents require real-time or document-based knowledge. - Testing, Evaluation & Quality Assurance - Design evaluation frameworks to measure agent accuracy, task completion rates, and output quality against human-staff benchmarks. - Identify and mitigate hallucinations, off-task behavior, and edge-case failures across all 20 agents. - Run structured UAT (user acceptance testing) cycles with Marketing stakeholders before deploying each agent. - Prompt Engineering & Optimization - Write and iterate on sophisticated system prompts that define each agent’s persona, scope, tools, escalation paths, and output format. - Benchmark Claude model tiers (Haiku, Sonnet, Opus) per agent to optimize the balance of speed, cost, and reasoning quality. - Maintain a centralized prompt library and versioning system for all 20 agents. - Deployment & Documentation - Deploy agents in a scalable, monitored production environment with logging, alerting, and performance dashboards. - Produce clear technical documentation for each agent: architecture diagrams, tool schemas, prompt rationale, and operational runbooks. - Train Marketing coordinators on how to interact with, monitor, and escalate issues across the agent suite. - AI Integration & Team Adoption - Owning tool adoption across the team is a non-negotiable part of this role. AI tools that go unused do not count as integrated. - Build, maintain, and enforce SOPs that embed AI tools into daily, weekly, and monthly marketing workflows for every team member. - Conduct regular audits of tool usage across the team — identify gaps, coach laggards, and escalate blockers. - Create how-to documentation, short training guides, and prompt templates so team members can execute AI tasks independently. - Act as the internal AI marketing resource — evaluating new tools, running pilots, and making adoption recommendations. - Track and report on AI adoption metrics: tasks completed via AI vs. manually, time saved, and output volume. - Coordinate with any technical, IT, or operations stakeholders to ensure AI tools are securely and reliably integrated. Qualifications - 3+ years of software development experience with demonstrated AI/LLM integration work. - Hands-on experience building applications with the Anthropic Claude API or equivalent LLM APIs (OpenAI, Gemini). - Strong understanding of agentic AI patterns: tool use, function calling, multi-agent orchestration, memory, and RAG. - Proficiency in Python and/or JavaScript/Node.js for backend agent development. - Experience integrating LLM agents with real-world APIs and CRM systems (HubSpot experience a strong plus). - Ability to independently interpret staff workflows and translate them into agent logic without heavy hand-holding. - Strong written English communication for documentation and async remote collaboration. Requirements - Experience specifically with the Anthropic SDK and Claude model family. - Familiarity with LangChain, LlamaIndex, or similar agent orchestration frameworks. - Background in marketing operations, lead generation, or B2B SaaS environments. - Experience building RAG pipelines or vector-database integrations. - Portfolio of deployed AI agents or automation tools (GitHub links or demos strongly encouraged). Benefits - Competitive starting rate paid in USD. - Internet Allowance. - HMO insurance (PH). - Paid US holidays. - Paid Vacation and Sick Leaves. System and Work Setup Requirements - A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues. - Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage. - Headset/earphone with noise cancellation and webcam at 720p or higher resolution. - A designated, quiet, and well-organized workspace free from distractions to facilitate focused work. - Permanent remote work setup.

Role Description We are hiring a highly skilled, AI-native Marketing Automation Specialist (Virtual Assistant) to manage, integrate, and continuously optimize artificial intelligence tools across our entire marketing operation. This is an execution-heavy role built for someone who understands how AI systems work together across the full marketing funnel — and who takes personal ownership of ensuring those systems are adopted and running daily. This role covers nine core AI-powered domains: - Content Generation - Campaign Management - Graphic Design - SEO/GEO - Social Media - Competitive Analysis - Messaging & Branding - Ad Management - Digital Asset Management You will not only execute within each domain — you will drive team-wide integration so that AI tools become the default, not the exception, in every workflow. Qualifications - Hands-on experience using AI tools for marketing execution across two or more of the domains listed above - Strong understanding of end-to-end marketing funnels — from awareness to conversion to retention - Experience supporting multiple marketing channels simultaneously with consistent quality output - Excellent written English, attention to detail, and strong editorial judgment on AI-generated content - Comfortable working independently with SOPs, performance goals, and asynchronous communication - Proven ability to document workflows and build repeatable systems Requirements - Experience with prompt engineering and building reusable AI prompt libraries - Familiarity with GEO (Generative Engine Optimization) and AI search visibility strategies - Background with marketing automation platforms such as HubSpot, Marketo, or ActiveCampaign - Experience managing DAM systems and website CMS platforms (WordPress, Webflow, etc.) - Understanding of data privacy regulations (GDPR, CCPA) in the context of AI-driven marketing Benefits - Competitive starting rate paid in USD - Internet Allowance - HMO insurance (PH) - Paid US holidays - Paid Vacation and Sick Leaves Company Description This is not a role for someone who uses AI occasionally. We need someone who lives in these tools — who wakes up thinking about how to make the next workflow faster, tighter, and more consistent. You will be the person our team turns to when they need to know how to do something with AI, and the person who holds us all accountable to actually using it. If you have built AI-powered marketing systems, driven measurable results, and can show the team how it’s done — we want to hear from you.

Role Description The AI Coordinator will support the Nisa Foundation in identifying, evaluating, and implementing artificial intelligence tools that improve organizational efficiency and streamline workflows. This role is ideal for students interested in AI, digital transformation, data analysis, and technology-driven innovation within the nonprofit sector. The coordinator will work closely with multiple departments to explore opportunities where AI can enhance productivity, automate routine tasks, and strengthen service delivery. Key Responsibilities - AI Research & Discovery - Research and identify emerging AI tools and technologies relevant to nonprofit operations, marketing, HR, and frontline programs. - Evaluate potential AI solutions for efficiency, cost-effectiveness, ethical use, and alignment with organizational needs. - Stay updated on AI trends and best practices in automation, data processing, and digital transformation. - Process Optimization & Efficiency Mapping - Assess internal workflows to determine where AI can streamline tasks (e.g., data entry, reporting, communication, content generation). - Support the creation of process maps and documentation outlining opportunities for improvement. - Collaborate with teams to understand pain points and propose possible AI-supported solutions. - Implementation Support - Assist departments with piloting new AI tools, including setup, testing, and feedback collection. - Help create guidelines and training materials for staff on using approved AI tools. - Support integration of AI-powered systems (such as chatbots, automation tools, or analytics platforms) into existing workflows. - Monitoring & Reporting - Track AI tool usage, performance, and staff feedback. - Compile reports summarizing findings, recommendations, and potential next steps for scaling AI initiatives. - Document ethical considerations and ensure alignment with privacy and security standards. Qualifications - Current student or recent graduate in computer science, information technology, data science, business technology, digital media, or a related field. - Strong research and analytical skills with interest in AI and automation. - Ability to learn new digital tools quickly and explain them to others. - Strong communication, documentation, and problem-solving abilities. - Familiarity with AI productivity tools (e.g., ChatGPT, Claude, Notion AI) is an asset. - Interest in ethical, responsible, and privacy-conscious use of technology. Requirements - This position is part of the Canadian government’s summer job program. - Candidate must be legally eligible to work in Canada (Canadian citizen, permanent resident of Canada, or a protected person within the meaning of the Immigration and Refugee Protection Act). - Able to provide a valid Social Insurance Number (SIN). - Must be between 15 and 30 years of age at the start of the employment. - Must have a valid Social Insurance Number at the start of employment and be legally entitled to work in Canada in accordance with relevant provincial or territorial legislation and regulations. Benefits - Nisa Foundation is an equal opportunity employer and is committed to complying with both the Ontario Human Rights Code and the AODA.