Job Description
Role Summary
We are looking for a AI (Fullstack) Engineer to help evolve IFS.ai Logistics into an agentâfirst, AIânative product.
This is not a traditional âadd AI to an existing systemâ role.
You will design and build LLMâpowered agents, simulationâdriven workflows, and AIânative product capabilities that sit at the core of our logistics optimization platform.
You will work across frontend, backend, data, and infrastructure, owning problems endâtoâend and shaping how we build software â not just what we build.
What Youâll Work On
AIâNative & AgentâFirst Development
⢠Design and build LLMâdriven agents to support planning, optimization, and decisionâmaking workflows
⢠Develop agent orchestration patterns (tools, memory, evaluation, guardrails)
⢠Build and maintain RAG pipelines, structured prompting, and retrieval strategies
⢠Treat simulation as a firstâclass design tool (using synthetic data, scenario replay, and state machines to validate logic)
Fullstack Product Engineering
⢠Build endâtoâend product features spanning:
⢠Backend services (Python / TypeScript)
⢠APIs (REST / GraphQL / FastAPI)
⢠Frontend experiences (React)
⢠Create humanâinâtheâloop 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 infrastructureâasâcode and modern CI/CD practices
⢠Champion simulationâled design, testability, and fast feedback loops
What Success Looks Like (6â12 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