At a Glance
- Tasks: Design and build AI-driven agents for logistics optimisation and decision-making workflows.
- Company: Join IFS, a billion-dollar tech company with a global impact.
- Benefits: Flexible work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and innovation.
- Why this job: Make a real difference in logistics with cutting-edge AI technology.
- Qualifications: Strong fullstack engineering skills with experience in Python or TypeScript.
The predicted salary is between 60000 - 80000 £ per year.
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 realise 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.
Role Summary
We are looking for an 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
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
- 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
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.
AI Engineer London, , United Kingdom Research and Development employer: Industrial and Financial Systems
IFS is an exceptional employer that champions innovation and inclusivity, providing AI Engineers with the opportunity to work on cutting-edge technology in a collaborative and diverse environment. With a strong commitment to employee growth, flexible working arrangements, and a focus on making a positive global impact, IFS empowers its team members to unlock their full potential while contributing to meaningful projects in logistics optimization. Join us in London to be part of a winning team that values creativity, sustainability, and the power of AI-driven solutions.
Contact Details:
Industrial and Financial Systems Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer London, , United Kingdom Research and Development
✨Tip Number 1
Network like a pro! Reach out to current employees at IFS through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by understanding IFS's mission and values. Familiarise yourself with their AI technology and how it impacts logistics. Show them you’re not just another candidate, but someone who genuinely cares about making a difference.
✨Tip Number 3
Practice your technical skills! Brush up on Python, TypeScript, and any relevant AI tools. Be ready to showcase your problem-solving abilities during coding challenges or technical interviews. We want to see you in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining Team Purple and making an impact with us at IFS.
We think you need these skills to ace AI Engineer London, , United Kingdom Research and Development
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects or experiences that highlight your skills and passion for the field. We love seeing candidates who are genuinely excited about making a difference with AI.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your fullstack engineering experience and any relevant AI projects you've worked on. This shows us that you understand what we're looking for and how you can contribute to our team.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate applications that are easy to read and get straight to the heart of your qualifications and experiences.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Industrial and Financial Systems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAG systems, and agentic patterns. Be ready to discuss how you've applied these in real-world scenarios, as IFS is looking for practical experience rather than just theoretical knowledge.
✨Showcase Your Fullstack Skills
Prepare to talk about your experience with both frontend and backend technologies, especially Python and TypeScript. Have examples ready that demonstrate how you've owned projects from concept to production, highlighting your ability to work across the stack.
✨Emphasise Collaboration
Since this role involves working closely with Product and Design teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and your ability to operate in small, high-ownership teams.
✨Demonstrate a Pragmatic Mindset
Be ready to discuss where you believe AI adds value and where it doesn't. IFS values a pragmatic approach, so think about how you've navigated ambiguity in previous projects and how you've iterated based on feedback.
