We're now looking to bolster this great founding team with a forward-thinking technical engineer who shares our enthusiasm and brings equally excellent technical finesse. To put it bluntly: if you build something great, we’ll sell the sh!t out of it, and we'll have fun doing it! 🚀

About the Role

Join 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 (built 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.

This is a rare opportunity to:

Build real AI systems—not wrappers—with agency, memory, and autonomy
Own the technical direction of a category-defining product
Work alongside experienced, go-to-market obsessed founders who know how to scale

Key Responsibilities

🧠 AI Architecture & Autonomy

Design intelligent agent frameworks and retrieval pipelines that enable dynamic, real-world decision making.
Architect modular, testable AI systems that integrate seamlessly with our core backend and product layer.
Create flexible APIs that power decision automation and context-aware execution.

⚙️ Model Integration & ML Engineering

Deploy and fine-tune open or closed-source LLMs to serve dynamic, context-rich use cases.
Implement embedding models and search workflows to provide grounding, relevance, and long-term memory.
Continuously optimize model performance and pipeline speed, balancing quality and cost.

📊 Data Infrastructure & Learning Systems

Structure ingestion pipelines for both structured and unstructured data.
Build foundational components that allow our AI systems to learn from real-world signals and interactions.
Enable real-time, feedback-driven improvement across key AI workflows.

🤝 Collaboration & Roadmap Leadership

Partner closely with the commercial founders to define the AI roadmap and product priorities.
Work alongside full-stack engineers to integrate agentic capabilities into the end-user experience.
Lead with a lean, iterative mindset, automate what can be automated, and always ship value.
Stay sharp on LLM innovation, agentic tooling, RAG systems, and co-pilot frameworks.

Who You Are

✔️ A seasoned AI/ML engineer with 2+ years of hands-on experience in deploying LLMs, RAG pipelines, and AI search technologies. (We want operators with real experience not just PHD’s)...
✔️ 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 or Native English (written and spoken) is essential.
Proven experience building with large language models (LLMs), retrieval-augmented generation (RAG), or vector search technologies.
Deep knowledge of machine learning engineering, prompt orchestration, and model optimisation.
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 working with API-first backends.
Ability to design and integrate AI systems into broader product infrastructure.
Comfort working in high-ownership, low-structure startup environments.
Bonus: Experience with agentic frameworks, LangChain, Semantic Kernel, or co-pilot development.

Founding Lead AI Engineer

Anywhere in the world

Remote

Senior

Launchyfi