Avatar for Eximple
Building AI native execution layer for global trade and trade finance

Founding Engineer

  • ₹18L – ₹22L
  • |
  • |3 years of exp
  • |Full Time
Reposted: today• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Node.js
AI
Backend Development
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)

About the job

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

  1. Design and ship multi-agent systems that automate real trade workflows - document processing, compliance checks, buyer-supplier matching, credit assessment, and logistics coordination
  2. Build full-stack product features end-to-end: APIs, data pipelines, and interfaces that traders actually use
  3. Own prompt engineering, RAG pipelines, and LLM orchestration across providers
  4. Instrument, evaluate, and iterate on AI outputs - reliability matters as much as capability
  5. Make build-vs-buy calls, pick the right tools, and move fast without creating unmaintainable debt

What We're Looking For

Must Have

  1. 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
  2. Hands-on experience with LLM APIs, prompt engineering, RAG, and agent frameworks (LangChain, LangGraph, CrewAI, or similar)
  3. A bias for building: prototype fast, ship, then improve
  4. 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 Experience with workflow automation tools (n8n, Zapier, or custom orchestration)

What We Offer

  • Founding team equity
  • Competitive salary
  • Full autonomy over stack and architecture

About the company

Eximple company logo
Building AI native execution layer for global trade and trade finance11-50 Employees
Company Size
11-50
Company Type
Private Limited
Company Industries
Artificial Intelligence / Machine Learning
Company Industries
Logistics / Transportation / Shipping
Learn more about Eximple image

Perks

Health & wellness
Comprehensive health insurance for you.
Team offsites & celebration dinners
We mark wins together, from client shipments to product launches. Expect team lunches, occasional off-sites, and informal hangouts that keep the culture tight as we grow
Field exposure
Visit ports, factories, and export clusters. Understand the problem at ground level.

Founders

Eximple HR
Founder
image
View the team image

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