
Artificial Intelligence • B2B • Venture Capital
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
11 - 50 employees
Founded 2017
🤖 Artificial Intelligence
🤝 B2B
November 13
AWS
Cloud
Distributed Systems
DynamoDB
JavaScript
Microservices
Next.js
Postgres
Python
React
Terraform
TypeScript

Artificial Intelligence • B2B • Venture Capital
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
11 - 50 employees
Founded 2017
🤖 Artificial Intelligence
🤝 B2B
• Define and execute technical vision: Guide the evolution of our product from proven prototype to production-grade scalability, architecting intelligent, data-driven systems capable of handling complex medical-legal document pipelines. • Own critical infrastructure: Lead the design and implementation of robust systems for large-scale document processing, metadata extraction, vector search, RAG workflows, and sophisticated asynchronous processing pipelines. • Master distributed systems: Architect and optimize complex async workflows using AWS Step Functions, Lambda, and microservices to coordinate multi-stage document processing, AI model interactions, and data transformations at scale. • Build and lead the team: Hire, mentor, and retain top-tier full-stack engineers, data scientists, and technical leaders, establishing a strong engineering culture centered on velocity, reliability, and continuous improvement. • Drive technical execution: Ensure timely delivery of high-impact features and platform capabilities, taking ownership of significant projects from conception through deployment. • Establish engineering excellence: Implement best practices around code quality, testing, deployment automation, monitoring, and documentation; champion TDD and comprehensive testing strategies. • Collaborate cross-functionally: Work closely with product, medical experts, legal professionals, and business stakeholders to align technical strategy with market needs and business growth. • Ensure enterprise readiness: Oversee secure, compliant infrastructure meeting industry-specific requirements for healthcare and legal data handling. • Evaluate and adopt technologies: Stay ahead of the curve on AI models, infrastructure, frameworks, and tools to maintain our competitive edge in the legal-tech/med-tech intersection.
• Senior technical leadership: 8+ years of software engineering experience with at least 3+ years in technical leadership roles (team lead, principal engineer, or engineering manager) • Full-stack expertise: Strong hands-on experience with TypeScript/React/Next.js frontend and Python backend development; comfortable navigating the entire stack • AWS cloud proficiency: Deep experience with AWS services including Lambda, Step Functions, S3, DynamoDB, RDS (PostgreSQL), SQS, and infrastructure as code (Terraform preferred) • Asynchronous systems: Proven ability to design and implement sophisticated async processing pipelines, distributed workflows, and state management across services • AI/ML integration: Hands-on experience with LLM APIs, vector databases, RAG systems, prompt engineering, and document AI services • Data pipeline design: Experience architecting secure, scalable data systems handling structured and unstructured inputs, with attention to compliance and auditability • Systems thinking: Track record of designing for scale, performance optimization, API integration, and enterprise-grade reliability • Product mindset: Ability to translate user pain points and business requirements into technical priorities; comfortable engaging with customers and domain experts. • Team building: Demonstrated success recruiting, mentoring, and growing engineering talent; fostering collaborative, high-performing teams
• Meaningful equity — Significant ownership stake rewarding you as a foundational team member • Remote-friendly — Work from anywhere in the US with a distributed-first culture
Apply NowNovember 13
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