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, inclusive culture, and opportunities for personal growth.
- Other info: Collaborative environment focused on innovation and sustainability.
- 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.
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 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
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
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.
AI Fullstack Engineer: LLM Agents & Simulation employer: Industrial and Financial Systems
IFS is an exceptional employer that champions innovation and inclusivity, providing a dynamic work environment where AI Fullstack Engineers can thrive. With a commitment to employee growth and sustainability, IFS offers flexible working arrangements and a collaborative culture that empowers you to make a real impact on global logistics challenges. Join a diverse team dedicated to pushing the boundaries of technology while enjoying opportunities for professional development and meaningful contributions to society.
Contact Details:
Industrial and Financial Systems Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Fullstack Engineer: LLM Agents & Simulation
✨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 diving deep into IFS's AI technology and logistics optimisation. Familiarise yourself with their products and think about how your skills can contribute to their mission. Show them you’re not just another candidate, but someone who truly gets what they do!
✨Tip Number 3
Practice your coding skills and be ready for technical assessments. Brush up on Python, TypeScript, and any relevant frameworks. We want to see you shine in those coding challenges, so don’t leave it to chance!
✨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 genuinely interested in joining Team Purple. Let’s make your moment happen!
We think you need these skills to ace AI Fullstack Engineer: LLM Agents & Simulation
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and technology shine through. We want to see how you can contribute to our innovative environment, so share any personal projects or experiences that highlight your passion for AI-driven solutions.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to align their background with what we’re looking for, especially in areas like LLMs and simulation.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your relevant experience and skills effectively. Remember, less is often more!
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you’ll have access to all the latest updates about the role and our company.
How to prepare for a job interview at Industrial and Financial Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TypeScript, and React. Brush up on your knowledge of LLMs and AI tooling, as well as RAG systems. Being able to discuss these topics confidently will show that you’re not just a candidate, but a potential asset to their team.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems, particularly in logistics or AI. Think about how you’ve used simulation and synthetic data in past projects. This will demonstrate your practical experience and your ability to think critically under pressure.
✨Emphasise Collaboration
Since the role involves working closely with Product and Design teams, be ready to share experiences where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve contributed to a team environment, as this is crucial for success at IFS.
✨Be Ready to Discuss Your Mindset
The company values a pragmatic approach to AI, so be prepared to talk about where you believe AI adds value and where it doesn’t. This shows that you understand the balance between innovation and practicality, which is key for a role focused on evolving AI products.
