At a Glance
- Tasks: Design and build AI-driven agents for logistics optimisation and decision-making workflows.
- Company: IFS.ai Logistics, a leader in AI-native logistics solutions.
- Benefits: Flexible hybrid work, inclusive culture, and opportunities for personal growth.
- Other info: Join a dynamic team focused on innovation and community.
- Why this job: Make a real-world impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Strong fullstack engineering skills with experience in Python or TypeScript.
The predicted salary is between 60000 - 80000 £ per year.
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
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
- 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 in London employer: IFS
At IFS.ai Logistics, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of AI-driven logistics solutions. Our flexible hybrid work environment supports diverse lifestyles while fostering a strong sense of community, allowing you to engage with colleagues and contribute to meaningful projects that have a real-world impact. With a focus on employee growth and autonomy, we empower our team members to take ownership of their work and drive the future of logistics optimization.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI tooling. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and logistics. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at IFS.ai Logistics.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with LLMs, Python, and TypeScript, and show us how you've tackled similar challenges in the past.
Show Your Passion for AI:We want to see your enthusiasm for AI and logistics! Share any personal projects or experiences that demonstrate your hands-on skills with AI tooling and agentic patterns. Let your passion shine through!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate brevity, so get to the point while still showcasing your skills.
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. We can’t wait to hear from you!
How to prepare for a job interview at IFS
✨Know Your Tech Stack
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 RAG systems, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've owned a project from concept to production. Highlight how you tackled challenges, particularly in AI and data contexts, and be ready to explain your thought process behind design decisions.
✨Emphasise Collaboration
Since this role involves working closely with Product and Design teams, be prepared to talk about your experience collaborating in cross-functional teams. Share examples of how you’ve contributed to team success and navigated ambiguity in past projects.
✨Demonstrate a Pragmatic Mindset
Be ready to discuss where you believe AI adds real value and where it might not. This shows that you understand the practical applications of AI in logistics and can think critically about its implementation.
