Full-Time Founding Lead AI Engineer

Who We AreWe’re two commercial and operational co-founders with a proven track record in growing and scaling companies—including a $43M trade sale. We’ve led M&A deals, built high-performing teams, and launched multiple startups. After collaborating closely for six months, we’re building something much bigger together. We’re assembling a world-class founding team to bring our vision to life. We’re building the next billion-dollar lean startup, and we’re looking for a forward-thinking technical founding engineer to join us. You’ll be the technical brain behind the product, owning architecture and execution while shaping the future of the business from day one. We're looking for a forward-thinking technical engineer who shares our enthusiasm and brings excellent technical finesse.

About the RoleJoin us as the Founding Lead AI Engineer, where you’ll architect and build the agentic core of our next-gen SaaS platform. This isn’t just about integrating LLMs, it’s about engineering AI-native systems from the ground up: dynamic agents, retrieval-augmented workflows, vector-based memory, and continuous learning loops. You’ll lead the development of our foundational AI layer—working with tools like RAG pipelines, vector databases, prompt orchestration frameworks, and custom LLM integrations (primarily on Azure). From prototype to scale, you’ll shape not just our tech stack, but how AI thinks, acts, and executes within our product.

Key Responsibilities

• AI Architecture & Autonomy: Design intelligent agent frameworks and retrieval pipelines that enable dynamic, real-world decision-making. Architect modular, testable AI systems. Create flexible APIs that power decision automation.
• Model Integration & ML Engineering: Deploy and fine-tune open or closed-source LLMs. Implement embedding models and search workflows. Continuously optimize model performance and pipeline speed.
• Data Infrastructure & Learning Systems: Structure ingestion pipelines for structured and unstructured data. Build foundational components that allow our AI systems to learn.
• Collaboration & Roadmap Leadership: Partner closely with commercial founders to define the AI roadmap. Work alongside full-stack engineers to integrate agentic capabilities into the end-user experience. Lead with a lean, iterative mindset.

Who You Are

• A seasoned AI/ML engineer with 2+ years of hands-on experience in deploying LLMs, RAG pipelines, and AI search technologies.
• You’ve worked with LLMs, search pipelines, or agents—and know the difference between demo and scale.
• You think in systems and flows, not just model performance.
• Experienced with vector search technologies.
• Deeply curious, execution-obsessed, and allergic to fluff.

Requirements

• 2+ years of hands-on experience in deploying AI/ML systems in production
• Fluent English (written and spoken)
• Proven experience building with LLMs, RAG, or vector search technologies
• Deep knowledge of machine learning engineering, prompt orchestration, and model optimization
• Experience architecting AI workflows involving embeddings, memory, reasoning, and automation
• Familiarity with AI pipeline tools, versioning, and production-ready deployment practices
• Strong programming skills in Python and experience with API-first backends
• Ability to design and integrate AI systems
• Comfort in startup environments

Benefits

• Excellent early-stage equity – up to 10.0%
• Competitive salary post-funding
• True founding role
• Work with proven commercial operators
• Remote-first work culture
• Flexible hours
• Zero bureaucracy, high trust
• Ground-floor opportunity

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