AI Product Engineer: Build Real-World AI Solutions at Scale

Brain Co.

Greater London

On-site

GBP 60,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Competitive salary + equity
Commuter benefits
Unlimited PTO

Job summary

Brain Co. is seeking an AI Product Engineer to design, develop, and deploy state-of-the-art software solutions that apply AI to real-world problems in government and industry.

You will work directly with customers to define the product spec and build from zero, spanning frontend interfaces to robust backend systems. Join a fast-moving team of AI experts and ex-founders to deploy impact-driven software at scale.

Qualifications

  • 2+ years of experience working directly with customers to develop the software spec and build from zero.
  • Experience with front-end and back-end technologies, microservices, and cloud platforms.
  • Proficiency with React, Typescript, RESTful APIs, and database management systems.

Responsibilities

  • Design, develop, and deploy AI-enabled software solutions that tackle real-world problems.
  • Interact with customer stakeholders to apply AI solutions and deliver software powered by AI.
  • Build scalable data pipelines and prepare systems for production in government and industrial sectors.
  • Mentor junior engineers and promote high-quality engineering practices.
  • Monitor deployed applications to ensure value delivery across customers.

Skills

Frontend & backend development
React
Typescript
Cloud platforms
Microservices

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Microservices
RESTful APIs
Database management
CI/CD

Job description

Brain Co. is seeking an AI Product Engineer to design, develop, and deploy state-of-the-art software solutions that apply AI to real-world problems in government and industry.

You will work directly with customers to define the product spec and build from zero, spanning frontend interfaces to robust backend systems. Join a fast-moving team of AI experts and ex-founders to deploy impact-driven software at scale.

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