Join a multidisciplinary team building an AI-powered platform to help organizations evaluate content value. As a Product Engineer, you will work across the full stack, integrating LLMs and building scalable data processing systems. You’ll collaborate directly with product and strategy leaders to translate complex business problems into elegant technical solutions.
Product Engineer at AI-powered content intelligence startup
Are you a full-stack engineer who cares about the business impact of your code? This well-funded AI-powered content intelligence startup in London is looking for a Product Engineer to help organizations make better investment decisions. You'll work directly with an experienced multidisciplinary founding team to build everything from production LLM integrations to complex data orchestration layers. This is a rare opportunity to join a small team where your engineering decisions carry directly into the customer experience. If you thrive in collaborative environments and want to grow your career while solving genuine commercial challenges through technology, we would love to hear from you.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
AI-powered content intelligence startup
What you will do
- Design and build high-quality features across the application stack using Python and TypeScript.
- Develop and maintain data ingestion pipelines and orchestration layers for reliable, fault-tolerant processing.
- Integrate and optimize AI technologies and LLMs to drive measurable decision-making value for customers.
Who this is a fit for
- Strong software engineering fundamentals with experience across modern web stacks and system architecture.
- Proven ability to take ownership of complex technical problems and deliver reliable, well-tested code.
- Curious, collaborative mindset with a passion for translating business strategy into impactful product features.
Why this role is remarkable
- Direct collaboration with a multidisciplinary leadership team, including the CEO and founding product partners.
- Well-funded startup addressing the critical commercial challenge of content performance in the age of AI.
- Broad technical ownership spanning full-stack development, workflow orchestration, and production-grade LLM integrations.
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