IFS AI Engineer (5+ Years)

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 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