Senior AI Systems Engineer — Agent & MCP Platform

Ledgy

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

25 days vacation
40 days remote work from outside home
Learning & development budget
Equity

Job summary

Ledgy is hiring for an Software Engineer on the AI Systems team in a role focused on building the Ledgy Agent, MCP server, and platform capabilities to embed AI safely across domains. You will design tools, skills, context, and orchestration for the agent and contribute to measurable improvements in accuracy and observability.

You will work with a TypeScript monorepo, React, Node.js, MongoDB, Kubernetes, and Terraform in a hybrid setup based in Europe, with London offices offering 2 days in the

Qualifications

  • 5+ years of experience as a Software Engineer with strong TypeScript/Node fundamentals across backend and frontend.
  • Built and shipped agentic or LLM-based software to production (agent, assistant, or chat product).
  • Designed the agent itself: tools, context, prompt engineering, state, and agent loop.
  • Implemented evals, tracing, and feedback to measure and improve system performance.
  • Stays current with foundation labs and broader AI community to inform product decisions.

Responsibilities

  • Design and build Ledgy Agent, the in-app agent, and its orchestration.
  • Shape MCP server to integrate equity into AI workflows.
  • Measure agent quality using evaluations, tracing, and live usage feedback.
  • Scale the AI platform for reliability, cost, and latency as usage grows.
  • Collaborate with customers, product, and design to determine Investment in features.

Skills

TypeScript/Node
LLM-based software
Agent/framework
Evals/Tracing
Customer-focused

Tools

React
Tailwind
tRPC
Node.js
MongoDB
Kubernetes
Terraform

Job description

Ledgy is hiring for an Software Engineer on the AI Systems team in a role focused on building the Ledgy Agent, MCP server, and platform capabilities to embed AI safely across domains. You will design tools, skills, context, and orchestration for the agent and contribute to measurable improvements in accuracy and observability.

You will work with a TypeScript monorepo, React, Node.js, MongoDB, Kubernetes, and Terraform in a hybrid setup based in Europe, with London offices offering 2 days in the

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