You’re invited to explore an exceptional chance to become a co‑founder of NatterAI’s Forward Deployed Engineering (FDE) initiative. FDE represents a new paradigm in AI deployment — combining advanced Artificial Intelligence with deep human expertise to deliver transformative solutions at unprecedented speed. This is not traditional engineering. This is hands‑on, high‑impact AI deployment directly inside real customer environments. Ideal Technical Background: Candidates will be considered if they possess one or more of the following technical capabilities: - AI & Machine Learning — Strong proficiency in modern AI systems, especially retrieval‑augmented generation (RAG) architectures and production‑grade LLM pipelines. - Data Engineering — Ability to work with large, heterogeneous datasets; understand data provenance; and integrate data sources into robust AI workflows. - Software Development — Solid programming fundamentals, ideally with experience in Python or other languages common in AI, ML, and data engineering.



- System Integration — Experience embedding AI systems into existing CRMs, ticketing platforms, knowledge bases, and enterprise operational stacks. - Compliance & Security — Familiarity with data‑privacy regulations and best practices for secure, compliant AI deployment. Preferred Soft Skills: Candidates who excel in the following areas will be strongly preferred: - Problem‑Solving — Ability to identify friction points in customer‑service workflows and design AI‑driven solutions that meaningfully reduce operational load. - Collaboration — Clear communication and the ability to work closely with support, operations, and product leaders in fast‑moving environments. - Adaptability — Comfort iterating quickly, refining AI systems based on real customer interactions, and responding to evolving business requirements. If this venture resonates with you, let’s sit down and talk. You can reply to this post or reach me directly at [email protected].

📌 Join Me in Building NatterAI’s Forward Deployed Engineering (London)
🏢 Jim Young
📍 London