React engineer Work, Jobs in Bow, Gtl (with Salaries)

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AI Engineer

IFS -
London

Apply Now

Job details

Full-time

Qualifications

Node.js
Law
React
Logistics
Google Cloud Platform
SQL
AWS
Docker
REST
Django
APIs
GraphQL
AI
TypeScript
Python

Full job description

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

Role Summary

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

AI‑Native & Agent‑First Development

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)

Fullstack Product Engineering

Build end‑to‑end product features spanning:
- Backend services (Python / TypeScript)
- APIs (REST / GraphQL / FastAPI)
- Frontend experiences (React)
Create human‑in‑the‑loop interfaces for AI systems (review, override, explainability)
Collaborate closely with Product and Design to ship usable, explainable AI features

Platform & Engineering Quality

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

What Success Looks Like (6–12 Months)

AI agents are shipping as core product capabilities, not experiments
Simulation and synthetic data are actively used to design and validate features
Product teams can move faster because AI systems are observable, testable, and trusted
Engineering quality improves without slowing delivery

Why IFS.ai Logistics

IFS.ai Logistics is building the next generation of logistics optimization software — combining AI, simulation, and human expertise to reduce cost, emissions, and complexity in global supply chains.

You’ll work on hard problems, with real‑world impact, alongside a team that values design‑led thinking, technical depth, and autonomy.

Qualifications

What We’re Looking For

Core Experience

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

Agent‑first, spec‑driven, or simulation‑led mindset
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

Tech Stack

Backend: Python (Django / FastAPI), TypeScript (Node.js)
Frontend: React
AI: LLMs, RAG pipelines, agent frameworks
Infra: Cloud (AWS / GCP), Docker, CI/CD, IaC
Data: SQL, event‑driven systems, analytics pipelines

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

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