About Eximple
Eximple is an AI-native export operating system built for Indian SME exporters. We unify freight, trade documentation, compliance, and finance into one accountable platform - removing the operational friction that holds businesses back from going global.
About The Role
You'll be the first or second engineer on the team. That means you own the full journey from scoping what to build to shipping it for real customers. Half your job is designing and deploying AI agents and LLM-powered features; the other half is building the product infrastructure they run on. You'll work directly with the founder, with real influence over product, architecture and how we scale.
Key Responsibilities
Design and ship multi-agent systems that automate real trade workflows - document processing, compliance checks, buyer-supplier matching, credit assessment, and logistics coordination
Build full-stack product features end-to-end: APIs, data pipelines, and interfaces that traders actually use
Own prompt engineering, RAG pipelines, and LLM orchestration across providers
Instrument, evaluate,
and iterate on AI outputs - reliability matters as much as capability
Make build-vs-buy calls, pick the right tools, and move quick without creating unmaintainable debt
What We're Looking For
Must Have
3+ years of software engineering experience, with at least 1 year building production LLM or AI agent systems 2.Strong full-stack skills - comfortable owning backend (Python or Node) and shipping usable frontends
Hands-on experience with LLM APIs, prompt engineering, RAG, and agent frameworks (LangChain, LangGraph, CrewAI, or similar)
A bias for building: prototype fast, ship, then improve
Comfort with ambiguity - the spec is often "here's the problem, figure it out"
Strong Plus
Experience in trade, logistics, fintech, or any regulated cross-border domain Background at an early-stage startup or as a founder
Familiarity with document understanding - OCR, extraction, classification Expe
📌 Founding Engineer (India)
🏢 Eximple
📍 India