winterchill jobs
← all jobs
linkedin

Software Engineer - Python or Go

Atarus· London Area, United Kingdom· £90,000–£130,000/yrEquitySponsorship
Posted 11 Aug 2026 · Added 11 Aug 2026, 14:55
AtarusRecruitment agencyfounded 2025
AI summary

Go, Python, C++, AWS, Kubernetes, Pulumi, and AI/computer vision tools power the backend. The team builds a video intelligence platform combining computer vision, multimodal AI, and real-time data. It is a small, early-stage engineering team.

View original on linkedin
See how well this job fits your CV.

Free Tailor for ATS: 10/10 runs left

🚀 Backend Engineer – AI

📍 London (Onsite)

💰 £90K–£130K + Equity

We’re partnered with a fast-growing AI company building a next-generation video intelligence platform combining computer vision, multimodal AI and real-time data.

They’re growing a small, high-calibre engineering team and looking for a Backend Engineer to take significant ownership over the systems powering the core product.

This is an early-stage environment where you'll work closely with founders and senior engineers, influence architecture and build systems from the ground up.

What You’ll Be Doing 👇

Build and own scalable backend services and APIs

Design systems processing real-time video and sensor data

Ship AI-powered features including multimodal search and agentic workflows

Build integrations between product, ML pipelines and edge devices

Solve distributed systems, performance and reliability problems

Influence architecture and technical direction as the platform scales

What They’re Looking For 🧠

Strong backend engineering experience with Go, Python or C++

Experience designing scalable APIs and distributed systems

Strong systems and software engineering fundamentals

Comfortable with cloud-native environments

Startup/scale-up experience or evidence of building things from scratch

High ownership and strong product instincts

Tech ⚙️

Go • Python • C++ • AWS • Kubernetes • Pulumi • AI / Computer Vision

Why It’s Interesting 💡

Join a small engineering team with founding-level influence

Build core systems rather than maintaining mature infrastructure

Work directly alongside AI, product and infrastructure engineers

Real-world AI operating at significant scale

Strong funding, commercial traction and meaningful equity