taptapsend - Founders Associate - AI
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Requirements
• Deep hands-on experience building AI-powered tools and agents: not just using ChatGPT, but architecting multi-step pipelines, RAG systems, and autonomous workflows • Strong engineering fundamentals: you can write production code, set up infrastructure, and debug at 2am if needed. Python is table stakes; experience with LLM APIs, vector databases, and orchestration frameworks (LangChain, CrewAI, etc.) is expected • A bias for speed and pragmatism over perfection: You'd rather ship a working bot in a week than spec a platform for six months • Exceptional communication skills: you'll need to sell AI adoption to skeptical teams, train non-technical users, and present to the board • Experience working in a fast-moving startup or scale-up environment, ideally fintech or financial services • A genuine obsession with AI and what it can do: You follow the space daily, you've built side projects, you have strong opinions on which models are best for which tasks • Comfort with ambiguity and a self-starting mentality. This role doesn't have a playbook - you'll write it • Experience leading or managing a small team (this role may grow into a team lead) • Background in data science, ML engineering, or quantitative research • Familiarity with compliance and regulatory environments - understanding what can and can't be automated in financial services • Experience with MCP (Model Context Protocol), agent-to-agent communication, or building tools that plug into existing SaaS platforms • Prior experience at a remittance, payments, or neobank company • TAPTAP VALUES https://www.taptapsend.com/our-values • Propose solutions • Be proactively candid, with yourself and others • Love the particular • Create positive energy • Maybe, even have fun
Responsibilities
• Audit every team and function to map where AI agents, bots, and copilots can eliminate toil, accelerate decisions, or improve output quality • Build and deploy AI agents; from internal Slack bots and document processors to research copilots and automated QA pipelines - using the best available tools (Claude, GPT, open-source models, custom fine-tunes) • Own the full stack: scoping, prototyping, building, deploying, measuring impact, iterating. You ship, you don't just advise • Design and run an internal AI adoption programme - training, templates, prompt libraries, office hours; that gets every team using AI tools confidently within their workflows • Work with the CEO to set quarterly AI transformation targets and report progress against them. This role has board-level visibility • Evaluate and integrate third-party AI tooling (coding assistants, meeting summarizers, analytics copilots, etc.) and negotiate vendor relationships where needed • Build the connective tissue between teams: shared knowledge bases, RAG systems over internal docs, automated reporting, and cross-functional agent workflows • Stay relentlessly current on the frontier; new models, new capabilities, new patterns and translate that into practical internal applications within days, not months
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