Senior Full Stack Engineer – AI-Native Development

SimplifyVMS

United Kingdom

On-site

GBP 110,000 - 170,000

Full time

6 days ago
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Job summary

SimplifyVMS is seeking a Senior Full Stack Engineer with AI-native development experience to help scale our enterprise VMS platform. You will work across Java, TypeScript, Python and AI tooling within an AWS-based microservices environment.

You will own features end-to-end, from requirements through production deployment, while building real-time capabilities and AI-enabled automation. A strong background in frontend and backend with autonomy is essential.

Qualifications

  • Strong Java, TypeScript and Python background with hands-on AI-native development.
  • Experience with AWS, microservices, REST APIs and distributed systems.
  • Proven ability to own features end-to-end from concept to production.
  • Experience building AI-enabled features and integrating AI services.

Responsibilities

  • Build and maintain backend services using Java, Spring Boot, TypeScript, Node.js, Fastify and Python.
  • Develop frontend applications using Angular, TypeScript and PrimeNG.
  • Design and maintain APIs, microservices and distributed systems.
  • Build AI-powered features and intelligent automation into the platform.
  • Configure AI coding agents and development workflows.
  • Operate real-time features using Socket.IO and AWS Bedrock integrations.

Skills

Java
Spring Boot
TypeScript
Node.js
Python
Angular
AI engineering
AWS
Socket.IO
REST APIs
Microservices
CI/CD
Docker
Git
SQL
Redis
Kubernetes
Kafka
AWS Bedrock

Tools

Docker
Kubernetes
Jenkins
New Relic
Celery

Job description

SimplifyVMS is building an AI-first platform for managing the contingent workforce and procurement services. We are looking for an exceptional and passionate full stack engineer. We are working in a hyper speed mode and looking for someone who can fit this culture. Time is of essence in the world of AI.

Senior Full Stack Engineer – AI-Native Development

We're looking for an exceptional Senior Full Stack Engineer with strong Java, TypeScript, Python and AI engineering experience to help build and scale our enterprise VMS platform. We need someone who can work independently across a complex AWS microservices architecture, take

ownership of features and deliver production-quality software. AI-native engineering is a core requirement. You must be experienced in building your own AI coding agents, configuring development harnesses and integrating AI capabilities into production software.

What You’ll Do
  • Build and maintain backend services using Java, Spring Boot, TypeScript, Node.js, Fastify and Python.
  • Develop frontend applications using Angular, TypeScript and PrimeNG.
  • Design and maintain APIs, microservices and distributed systems.
  • Build AI‑powered features and intelligent automation into our platform.
  • Build, configure and orchestrate custom AI coding agents.
  • Configure IDEs, agent harnesses, MCP servers, custom skills and automated development workflows.
  • Develop real‑time application features using Socket.IO.
  • Integrate LLMs and AI services using AWS Bedrock.
  • Work across AWS infrastructure, databases and event‑driven systems.
  • Own features end‑to‑end, from requirements through to production deployment.
  • Java & Spring Boot: Strong commercial experience with Java 17/21, Spring Boot and production microservices.
  • TypeScript & Node.js: Advanced TypeScript development, Node.js, Fastify and backend API engineering.
  • Python: Strong Python development experience, including backend services, APIs and automation.
  • AI‑Native Development: Advanced hands‑on experience using Claude Code, Cursor, OpenAI Codex or equivalent coding agents.
  • Custom Agents & Harnesses: Proven ability to build, configure and orchestrate AI coding agents, MCP integrations, custom tools and development workflows.
  • AI Platform Engineering: Experience integrating LLMs and AI‑powered capabilities into production applications.
  • Angular: Strong experience developing enterprise frontend applications using Angular and TypeScript.
  • AWS: Experience with ECS, Lambda, S3, API Gateway and containerised cloud applications.
  • AWS Bedrock: Practical experience integrating foundation models and AI services into applications.
  • Socket.IO: Experience building real‑time features and bidirectional communication.
  • Databases: Strong SQL experience, ideally MySQL, plus Redis.
  • Architecture: Microservices, distributed systems, REST APIs and event‑driven processing.
  • DevOps: Docker, Git, CI/CD, automated testing and production troubleshooting.
  • Autonomy: Ability to independently design, build, test and deploy complex features with minimal supervision.
Highly Desirable
  • PHP, Laravel and Vue.js
  • FastAPI and Celery
  • Kafka, Amazon MSK and event‑driven architecture
  • Keycloak, ClickHouse, OpenSearch and Debezium
  • BullMQ and ConnectRPC
  • Jenkins, SonarQube, Trivy and New Relic
  • RAG, vector search, embeddings and LLM evaluation
  • Multi‑agent orchestration and advanced AI application architecture
Who We’re Looking For
  • You're a highly capable engineer with strong fundamentals across Java, TypeScript and Python who has fully embraced AI‑native software development.
  • You don't just use AI tools - you build and configure your own agents, harnesses and workflows to make software development faster and more effective.
  • You've integrated AI into real applications, can move confidently between frontend, backend and infrastructure, and take full ownership of what you deliver.
  • You're comfortable navigating unfamiliar codebases, solving difficult problems independently and shipping secure, maintainable production software.
What Will Make You Stand Out
  • AI agents you've built: Custom coding agents, development harnesses, MCP integrations and automated workflows.
  • AI features you've shipped: Production applications using LLMs, AWS Bedrock or intelligent automation.
  • Your engineering breadth: Real experience across Java, TypeScript, Python, Angular and AWS.
  • Your independence: Complex features you've designed, developed and deployed end‑to‑end.

If you're a strong full‑stack engineer who builds their own AI tooling, integrates AI into real

products and thrives on technical autonomy, we'd like to hear from you.

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