Senior Backend AI Engineer - Scale Enterprise Data

Sarah Smith Fund; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Salary

Equity

Holidays

Office in London

Dinner allowance

Work-from-anywhere

Pension plan

Team events

Founders collaboration

Job summary

Kernel is looking for a high-velocity product engineer to join its London team. You will design and ship features that power large-scale AI-driven workflows, owning projects end-to-end—from ideation to deployment—in a small, autonomous setting.

The role requires 6+ years in software or product engineering, strong backend chops with NodeJS, PostgreSQL and TypeScript, and experience with LLM patterns (RAG, prompt engineering). London office, visa sponsorship, equity, and a fast-paced culture await.

Qualifications

• 6+ years of software or product engineering experience.
• Experience building and scaling production systems.
• Comfort with backend engineering (NodeJS, Postgres, TypeScript).
• Familiarity with LLM application development patterns (RAG, prompt engineering).
• Ability to operate autonomously in a small, high-velocity team.
• Excellent communication and collaboration skills.
• Some experience with Kubernetes or distributed systems.

Responsibilities

• Designing and developing product features that directly impact user workflows.
• Collaborating with design, product, and other engineers to deliver exceptional user experiences.
• Writing and maintaining clean, reliable, and scalable code across the stack.
• Helping ensure performance and reliability for large-scale data operations.
• Automating workflows to improve developer velocity and reduce manual work.
• Supporting integrations with CRMs and third-party APIs.
• Participating in roadmap discussions and contributing technical insights.

Skills

NodeJS

PostgreSQL

TypeScript

LLM patterns

RAG

Kubernetes

Autonomy

Communication

Tools

AWS

Next.js

n8n

Tailwind

Job description

Kernel is looking for a high-velocity product engineer to join its London team. You will design and ship features that power large-scale AI-driven workflows, owning projects end-to-end—from ideation to deployment—in a small, autonomous setting.

The role requires 6+ years in software or product engineering, strong backend chops with NodeJS, PostgreSQL and TypeScript, and experience with LLM patterns (RAG, prompt engineering). London office, visa sponsorship, equity, and a fast-paced culture await.