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Product Engineer

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Onsite

Product Engineer

Explore Group

Product Engineer

Skills

Google Cloud PlatformNextDockerReactNodeTypescriptPythonJavaMicroservicesMachine LearningAIAWSJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

£100,000 – £130,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

1 September 2026

What they need


Product Engineer (Full Stack, AI)

About the Role

We are looking for a Product Engineer with strong full stack development experience and a passion for building AI enabled applications. You will work across the product lifecycle, collaborating with cross functional teams to design, develop, and deliver scalable software solutions that solve real world problems.

This role requires a combination of engineering excellence, product thinking, and curiosity to explore emerging AI technologies.

Key Responsibilities

  • Design, develop, test, and deploy full stack applications using modern web technologies.
  • Build responsive and intuitive user interfaces using React, Next.js, or similar frontend frameworks.
  • Develop scalable backend services, APIs, and integrations using Node.js, Python, or comparable technologies.
  • Integrate AI capabilities using Large Language Models, AI APIs, and related frameworks where appropriate.
  • Collaborate with product managers, designers, and engineers to deliver high quality features.
  • Write clean, maintainable, and well tested code following engineering best practices.
  • Optimize applications for performance, scalability, security, and reliability.
  • Participate in code reviews, technical discussions, and architecture decisions.
  • Troubleshoot production issues and continuously improve application quality.

Required Skills

  • 3 to 7 years of experience in full stack software development.
  • Strong proficiency in JavaScript or TypeScript.
  • Experience with React, Next.js, or similar frontend frameworks.
  • Experience building backend services using Node.js, Python, Java, or similar technologies.
  • Good understanding of REST APIs, databases, authentication, and system design.
  • Experience integrating AI services such as Large Language Models or other machine learning APIs.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Git, CI/CD pipelines, Docker, and modern development workflows.
  • Strong problem solving and communication skills.
  • Ability to work effectively in a collaborative and fast paced environment.

Preferred Qualifications

  • Experience building AI powered applications.
  • Knowledge of vector databases, RAG, AI agents, or prompt engineering.
  • Experience with microservices and distributed systems.
  • Familiarity with Agile development methodologies.
  • Understanding of application security and performance optimization.

What We Offer

  • Opportunity to work on modern full stack and AI technologies.
  • Collaborative engineering culture with opportunities for learning and growth.
  • Competitive compensation and benefits.
  • Flexible work environment.
  • Career development opportunities.

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