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.
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
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
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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