AI Workflow Engineer

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    "type": "—",
    "title": "AI Workflow Engineer",
    "posted": "2025-12-02",
    "company": "Alpaca VC",
    "applyUrl": "https://apply.workable.com/alpaca-vc/j/89D682FC4C/apply",
    "location": "New York, United States (Remote)",
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    "descriptionText": "Description\n\nWe're building the technical infrastructure for a new kind of venture capital firm—one where AI systems dramatically enhance performance. We need someone who can architect what we’ve scoped out and own these systems end to end. \n\nThis isn't about bolting ChatGPT onto existing workflows. We're designing agentic systems that are doing things that took hours across our team. You'll have the autonomy to make architectural decisions and ship production systems that directly impact fund performance. \n\nYou'll work closely with a Principal and General Partner who both understand technical tradeoffs and they’ll empower you with a front row seat on building a world class venture capital firm in the new era. \n\nAfter building our internal systems, you'll deploy this infrastructure across our business units, create technical SOPs, and help us mold our technical platform so that it scales beyond the fund. In other words, this is a high impact and high visibility role designed for someone looking to shape their career in the new AI first economy.\n\n Requirements\n\n 3 6 years of software engineering or technical product experience, with demonstrated ability to ship production systems \n Strong Python or other object oriented programming skills, you've written services that process real data, not just scripts \n Deep experience with APIs, webhooks, and integration architecture—you understand auth flows, rate limits, and failure modes \n Hands on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering for production use cases \n Familiarity with workflow orchestration\n Experience designing data models and working with CRMs and data models\n\n Benefits\n\n Architectural ownership, you'll make real decisions about how systems are built, not implement someone else's spec \n Direct exposure to venture capital deal flow, LP relationships, and portfolio operations \n Work with leadership that understands technical tradeoffs and values engineering excellence \n Greenfield systems, you're building new infrastructure, not maintaining legacy code \n Path to platform business: deploy your systems across portfolio companies as a product \n Competitive compensation and the chance to shape the future of work by crafting your role directly"
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