Product / Software Engineer at early-stage AI decision infrastructure startup in London
Product / Software Engineer at early-stage AI decision infrastructure startup

Product / Software Engineer at early-stage AI decision infrastructure startup in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build innovative software that helps organisations navigate uncertainty using AI.
  • Company: Exciting early-stage AI startup focused on decision infrastructure.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Why this job: Make a real impact in AI while owning features end-to-end.
  • Qualifications: Experience in coding with React, Python, and cloud tech.
  • Other info: Join a dynamic team with experienced founders and a focus on learning.

The predicted salary is between 36000 - 60000 £ per year.

Company Description: Early-stage AI decision infrastructure startup building software that helps organizations explore uncertainty using AI-powered synthetic audiences.

Job Description: Join a high-execution team building software that helps organizations explore uncertainty using AI-powered synthetic audiences. This role goes beyond typical SaaS CRUD development; you will design complex systems that make AI outputs trustworthy and actionable. You will own features end-to-end, making critical trade-offs between speed and long-term technical health.

Location: London, UK

Why this role is remarkable:

  • Work on high-leverage decision infrastructure that goes far beyond simple AI wrappers or prompt engineering
  • Massive ownership in a small, fast-paced team where your technical decisions will shape the platform for years
  • Experienced, hands-on founders who value strong technical judgment and a bias toward execution and learning

What you will do:

  • Build and ship production features using React, Next.js, Python, and FastAPI across the full stack
  • Turn vague product problems into robust, working software that real users rely on for critical decisions
  • Improve system performance and orchestration to ensure AI-driven outputs are reliable, scalable, and trustworthy

The ideal candidate:

  • Significant experience shipping high-quality code in fast-moving, early-stage environments with high ambiguity
  • Strong proficiency in modern web technologies including React, Python, and cloud infrastructure such as GCP
  • A thinking-engineer mindset that balances pragmatism with deep care for system design and robustness

Product / Software Engineer at early-stage AI decision infrastructure startup in London employer: Jack & Jill/External Ats

Join an innovative early-stage AI decision infrastructure startup in London, where you'll have the opportunity to make a significant impact on the development of cutting-edge software that empowers organizations to navigate uncertainty. With a strong emphasis on ownership and collaboration within a fast-paced team, you'll work alongside experienced founders who prioritise technical excellence and continuous learning, ensuring your contributions shape the future of AI-driven decision-making.
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Contact Detail:

Jack & Jill/External Ats Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Product / Software Engineer at early-stage AI decision infrastructure startup in London

✨Tip Number 1

Get to know Jack! He’s your first step in this journey. Have a chat with him to share your skills and what you’re looking for. This way, he can match you with the best opportunities tailored just for you.

✨Tip Number 2

Don’t underestimate the power of networking! Reach out to your connections in the tech space, especially those who might know about early-stage startups. You never know who might have the inside scoop on openings that aren’t advertised yet.

✨Tip Number 3

Prepare for your chat with Jill! Research the company and think about how your experience aligns with their mission. Being able to articulate your thoughts on AI and decision infrastructure will definitely make you stand out.

✨Tip Number 4

Stay proactive! If you don’t hear back right away, follow up with Jack. He’s there to help you navigate the process and can provide updates or even suggest other roles that might be a great fit for you.

We think you need these skills to ace Product / Software Engineer at early-stage AI decision infrastructure startup in London

React
Next.js
Python
FastAPI
Full Stack Development
Cloud Infrastructure
System Design
Performance Optimisation
Scalability
Robustness
Problem-Solving
Technical Judgment
Agility in Fast-Paced Environments
Ownership of Features

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and decision infrastructure shine through. We want to see how you connect with our mission of exploring uncertainty using AI-powered solutions.

Highlight Relevant Experience: Make sure to showcase your experience with modern web technologies like React and Python. We’re looking for candidates who have a strong background in building robust software, so don’t hold back on those achievements!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for this role. Remember, we want to understand your skills and experiences quickly!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect with you and ensure your application gets into the right hands. Just follow the steps and let’s get started on this journey together!

How to prepare for a job interview at Jack & Jill/External Ats

✨Know Your Tech Stack

Make sure you’re well-versed in React, Python, and FastAPI. Brush up on your knowledge of cloud infrastructure like GCP too. Be ready to discuss how you've used these technologies in past projects and how they can be applied to solve the challenges mentioned in the job description.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've turned vague product problems into robust software solutions. Think about specific instances where you made critical trade-offs between speed and long-term technical health, as this role demands a balance of both.

✨Demonstrate Ownership

This position requires massive ownership, so come prepared to discuss projects where you’ve taken full responsibility from start to finish. Highlight how your decisions shaped the outcome and what you learned along the way.

✨Embrace Ambiguity

Since the startup environment is fast-paced and often ambiguous, share experiences where you thrived in such settings. Talk about how you approached uncertainty and what strategies you employed to deliver high-quality results despite the challenges.

Product / Software Engineer at early-stage AI decision infrastructure startup in London
Jack & Jill/External Ats
Location: London

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