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# AI Fullstack Engineer: LLM Agents & Simulation

- **Company:** Industrial and Financial Systems
- **Location:** Greater London, UK
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Information Engineering, Programming Tools, Python (Programming Language), Azure Machine Learning, Search Technologies, Software Engineering, TypeScript, ReactJS, Large Language Models, State Machines, Backend, Fastapi, Build Management, Graphql, Front End Software Development
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815459483-ai-fullstack-engineer-llm-agents--simulation

## About the Role

* Strong fullstack engineer with deep backend capability
 * Production experience with Python and/or TypeScript
 * Experience owning systems from concept to production
 * Comfortable working in small, high-ownership teams

AI & Data (Practical, Not Theoretical)

 * Hands-on experience with:
 + LLMs and modern AI tooling
 + RAG systems, embeddings, vector search
 + Agentic patterns (tools, planners, evaluators)
 * Experience productionising ML/AI systems (monitoring, failure modes, iteration)
 * Pragmatic mindset: understands where AI adds value - and where it doesn't

Ways of Working

 * Comfortable operating with ambiguity
 * Strong collaborator with Product, Design, and other engineers
 * Bias toward shipping, learning, and iterating

Nice to Have (But Not Required)

 * Experience with logistics, optimization, or simulation-heavy domains
 * Background in data engineering or ML platforms
 * Experience building developer tools or internal platforms
 * Exposure to regulated or security-conscious environments
 * Frontend: React

## Description

We are looking for a AI(Fullstack) Engineer to help evolve IFS.ai Logistics into an agent-first, AI-native product.

This is not a traditional "add AI to an existing system" role.

You will design and build LLM-powered agents, simulation-driven workflows, and AI-native product capabilities that sit at the core of our logistics optimization platform.

You will work across frontend, backend, data, and infrastructure, owning problems end-to-end and shaping how we build software - not just what we build.

What You'll Work On

 * Design and build LLM-driven agents to support planning, optimization, and decision-making workflows
 * Develop agent orchestration patterns (tools, memory, evaluation, guardrails)
 * Build and maintain RAG pipelines, structured prompting, and retrieval strategies
 * Treat simulation as a first-class design tool (using synthetic data, scenario replay, and state machines to validate logic)
 * Backend services (Python / TypeScript)
 * APIs (REST / GraphQL / FastAPI)
 * Frontend experiences (React)
 * Collaborate closely with Product and Design to ship usable, explainable AI features
 * Own services in production: performance, reliability, observability, and cost
 * Design systems that are secure, testable, and compliant by default
 * Use infrastructure-as-code and modern CI/CD practices
 * Champion simulation-led design, testability, and fast feedback loops


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