Production AI Lead - Remote, Own AI Strategy & Systems

JUPUS; Lancashire; Remote; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Fully Remote

MacBook provided

Urban Sports Club

Job summary

JUPUS is seeking a driven AI Lead to own AI across its core products, balancing hands-on development with team leadership. You will define the AI strategy, guide architecture, and ensure production-ready systems for voice, chat, and document workflows across the company.

You will lead a high-performing AI team, work closely with product and engineering leadership, and build scalable AI infrastructure with strong observability and evaluation workflows. Remote-friendly and impact-driven role.

Qualifications

• 5–6 years of experience building and shipping applied AI systems in production.
• Proven hands-on experience with agentic AI systems and/or RAG in production.
• Strong proficiency in Python and backend development for AI-driven products.
• Experience leading or mentoring AI engineers and setting technical direction.
• Track record of end-to-end AI feature delivery in a product environment.

Responsibilities

• Define and execute the AI roadmap across all AI products.
• Lead, mentor, and grow the AI team with a high-performance culture.
• Architect and implement production-ready generative AI systems across voice, chat, and docs workflows.
• Contribute hands-on (≈40%) to core AI systems, including architecture and optimization.
• Establish evaluation, testing, and observability frameworks for AI systems.

Skills

Python

Backend development

Production AI systems

AI leadership

LLM evaluation

Team mentoring

Tools

LangSmith

Langfuse

Docker

Kubernetes

Job description

JUPUS is seeking a driven AI Lead to own AI across its core products, balancing hands-on development with team leadership. You will define the AI strategy, guide architecture, and ensure production-ready systems for voice, chat, and document workflows across the company.

You will lead a high-performing AI team, work closely with product and engineering leadership, and build scalable AI infrastructure with strong observability and evaluation workflows. Remote-friendly and impact-driven role.