Founding AI Product Engineer & Product Owner (Hybrid)

Wave Mind

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

9 days ago

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Benefits offered by this job

Wellness perks
Lifestyle perks & events
Annual tech & education budget

Job summary

Wave Mind in London is looking for a hybrid engineer–product owner who will define problems, shape solutions and ship AI-powered workflows using LLMs and agentic systems. You’ll own features end-to-end and work closely with CTO, back-end and mobile engineers, and the operations team to deliver real customer value.

This high-ownership role sits at the intersection of product judgment and engineering, with a path toward senior leadership or a technical lead as the company scales.

Qualifications

  • 4+ years building production software.
  • Proven experience shipping AI-powered features to real customers, ideally at scale.
  • Hands-on experience with LLMs, prompt design, tool calling and agentic flows.

Responsibilities

  • Own product features end to end, from problem definition through to production, feedback and iteration.
  • Act as product owner for assigned areas, balancing customer needs, technical constraints and delivery speed.
  • Design and build AI-powered workflows using LLMs, tools and agentic systems.
  • Design agent flows that combine automation with human‑in‑the‑loop escalation.
  • Work with internal domain experts to understand operational pain points and opportunities for leverage.
  • Collaborate with engineers to ship reliable, scalable implementations.
  • Define success metrics and use qualitative and quantitative feedback to guide iteration.
  • Debug production issues related to AI behaviour, data quality or workflow design.
  • Contribute code across the stack where needed, with a bias towards shipping.

Skills

Production software
AI features
LLMs & agents
Python
Communication

Tools

Python
APIs
Data pipelines

Job description

Wave Mind in London is looking for a hybrid engineer–product owner who will define problems, shape solutions and ship AI-powered workflows using LLMs and agentic systems. You’ll own features end-to-end and work closely with CTO, back-end and mobile engineers, and the operations team to deliver real customer value.

This high-ownership role sits at the intersection of product judgment and engineering, with a path toward senior leadership or a technical lead as the company scales.

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