AI Prompt Product Engineer

London, United Kingdom
4 months ago
£50,000 – £65,000 pa
Applications closed

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Job Type
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Work Location
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Seniority
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Education
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Posted
30 Apr 2026 (4 months ago)

Junior Prompt Product Engineer - (Research)
London, Hybrid

Salary up to £65,000

This is a rare opportunity to step into an early career AI and product role where your domain expertise directly shapes a live system. You will sit at the intersection of research, engineering, and product, contributing hands on to how AI powered features are designed, built, and improved. For someone who enjoys turning ideas and insight into working solutions, this role offers real ownership and fast learning.

The Company
They are a technology led organisation rethinking how insight and research are delivered. By combining research expertise with modern engineering and AI, they help organisations make better decisions, faster and more accurately. Their team brings together researchers, engineers, and product specialists who are motivated by building practical tools that create real world impact. Collaboration, curiosity, and continuous improvement sit at the heart of how they work.

The Role

  • Work closely with engineers to build, test, and iterate on AI driven features and system improvements.
  • Embed within the product and engineering team, contributing domain knowledge directly into live development work.
  • Help shape the feature roadmap by feeding into planning and prioritisation discussions.
  • Partner with go to market teams to understand user feedback and system performance in real use cases.
  • Translate research workflows and objectives into clear, structured processes that can be automated and scaled.

Your Skills and Experience

  • Strong commercial experience working within a research environment, with a clear understanding of research workflows and objectives.
  • Active, hands on use of AI tools, with curiosity around how they can be applied to real problems.
  • Demonstrated interest in building, whether through tools, automations, or close collaboration with engineering teams.
  • Ability to break down complex domain knowledge into structured workflows that others can work with.
  • A proactive, collaborative mindset with a willingness to take ownership and learn quickly.

How to Apply
If you are excited by the idea of building AI powered products and want to grow your career at the intersection of research and engineering, apply now.

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.