AI Workflow Engineer

Alpaca VC; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Architectural ownership

Direct exposure to deal flow

Leadership-aligned with tech trades

Greenfield systems

Platform deployment across portfolio

Competitive compensation

Job summary

Alpaca VC is building the technical infrastructure for a new kind of venture capital firm where AI systems dramatically enhance performance. You will architect end-to-end production systems and own the technical roadmap, with autonomy to shape platform decisions.

You'll work closely with a Principal and General Partner who value engineering excellence, deploying infrastructure across units, creating SOPs, and scaling beyond the fund in an AI-first economy.

Qualifications

• 3-6 years of software engineering or technical product experience with production systems.
• Strong Python or OO programming skills with production services.
• APIs, webhooks, and integration architecture including auth flows, rate limits, and failure modes.
• Hands-on experience with LLM APIs (OpenAI, Anthropic) and prompt engineering for production use cases.
• Familiarity with workflow orchestration.
• Experience designing data models and working with CRMs and data models.

Responsibilities

• Architect end-to-end production systems and own the architectural decisions.
• Deploy infrastructure across business units and create technical SOPs.
• Collaborate with leadership to shape the technical platform for scale.
• Ship production systems that directly impact fund performance.

Skills

Python

API design

LLM integration

Workflow orchestration

Data modeling

Job description

We'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.

This 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.

You'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.

After 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.

Requirements

• 3-6 years of software engineering or technical product experience, with demonstrated ability to ship production systems
• Strong Python or other object oriented programming skills, you've written services that process real data, not just scripts
• Deep experience with APIs, webhooks, and integration architecture—you understand auth flows, rate limits, and failure modes
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering for production use cases
• Familiarity with workflow orchestration
• Experience designing data models and working with CRMs and data models

Benefits

• Architectural ownership, you'll make real decisions about how systems are built, not implement someone else's spec
• Direct exposure to venture capital deal flow, LP relationships, and portfolio operations
• Work with leadership that understands technical tradeoffs and values engineering excellence
• Greenfield systems, you're building new infrastructure, not maintaining legacy code
• Path to platform business: deploy your systems across portfolio companies as a product
• Competitive compensation and the chance to shape the future of work by crafting your role directly