Senior Fullstack Engineer, AI Platform & Scale

SoSafe

United Kingdom

Remote

GBP 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Work/Life balance: Flexible hours
33 vacation days
Open Up & discounts
Virtual events & meet-ups
Tech equipment & referral bonuses

Job summary

SoSafe is seeking a skilled full‑stack engineer to help build the core capabilities of our AI Platform. You will work in a small, autonomous team delivering runtimes, model routing, tool registries and shared services that power AI agents used across SoSafe products.

You’ll design and implement production-grade platform services using Node.js, TypeScript, NestJS and React, and you’ll work with LLMs, LangChain, LangGraph and agent orchestration to solve governance, observability and scalability

Qualifications

  • Experience building modern full-stack applications with Node.js, TypeScript and React.
  • Hands-on experience building AI-powered applications or platforms using LLMs and AI agents.
  • Ability to design reusable APIs and tooling for engineers.

Responsibilities

  • Build core capabilities behind SoSafe's AI Platform including runtimes and model routing.
  • Design and build production-grade platform services and developer tooling with Node.js/TS/NestJS/React.
  • Develop reusable AI infrastructure enabling teams to deploy AI agents securely at scale.
  • Work hands-on with LLMs, LangChain/LangGraph, agent orchestration, governance and observability.

Skills

Node.js
TypeScript
React
Full-stack
LLMs

Tools

NestJS
LangChain
LangGraph
MCP

Job description

SoSafe is seeking a skilled full‑stack engineer to help build the core capabilities of our AI Platform. You will work in a small, autonomous team delivering runtimes, model routing, tool registries and shared services that power AI agents used across SoSafe products.

You’ll design and implement production-grade platform services using Node.js, TypeScript, NestJS and React, and you’ll work with LLMs, LangChain, LangGraph and agent orchestration to solve governance, observability and scalability

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