AI Engineer

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 aglobal, diverse environment; you will be joining awinning team with acommitment to sustainability; and a company where we get things done so that you canmake 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 aAI (Fullstack) Engineer to help evolve IFS.ai Logistics into anagent‑first, AI‑native product.

This isnot a traditional “add AI to an existing system” role.

You will design and buildLLM‑powered agents,simulation‑driven workflows, andAI‑native product capabilities that sit at the core of our logistics optimization platform.

You will work acrossfrontend, backend, data, and infrastructure, owning problems end‑to‑end and shapinghow we build software — not justwhat we build.

What You’ll Work On

AI‑Native & Agent‑First Development

• Design and buildLLM‑driven agents to support planning, optimization, and decision‑making workflows
• Developagent orchestration patterns (tools, memory, evaluation, guardrails)
• Build and maintainRAG pipelines, structured prompting, and retrieval strategies
• Treatsimulation as a first‑class design tool (using synthetic data, scenario replay, and state machines to validate logic)

Fullstack Product Engineering

• Buildend‑to‑end product features spanning:
  • Backend services (Python / TypeScript)
  • APIs (REST / GraphQL / FastAPI)
  • Frontend experiences (React)
• Createhuman‑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 aresecure, testable, and compliant by default
• Useinfrastructure‑as‑code and modern CI/CD practices
• Championsimulation‑led design, testability, and fast feedback loops

What Success Looks Like (6–12 Months)

• AI agents are shipping ascore product capabilities, not experiments
• Simulation and synthetic data are actively used to design and validate features
• Product teams can move faster because AI systems areobservable, 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 — combiningAI, simulation, and human expertise to reduce cost, emissions, and complexity in global supply chains.

You’ll work onhard problems, withreal‑world impact, alongside a team that valuesdesign‑led thinking, technical depth, and autonomy.

What We’re Looking For

Core Experience

• Strong fullstack engineer withdeep backend capability
• Production experience withPython and/or TypeScript
• Experience owning systemsfrom concept to production
• Comfortable working insmall, 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 towardshipping, 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

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.