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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.
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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.
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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
- Hands-on experience with:
- 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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