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KlearNow.ai

Software infrastructure for licensed customs brokers

Technical Lead - Customs Platform

Backend EngineeringPosted on Nov 11
Full-time

About the Job

Requirements

  • At least 8 years of experience building backend systems and at least 2 years as a hands-on technical lead.
  • Strong backend engineering skills in a modern programming language and working knowledge of Python.
  • Production experience with event-driven distributed systems on AWS and Kubernetes.
  • Experience shipping LLM or agent features to real users, with evaluations used to gate releases.
  • Experience in a rules-heavy domain where errors are costly, such as customs, tax, or payments.
  • Clear writing and comfort working across time zones with the Gurgaon team.

Responsibilities

  • Own the customs module end to end, including its architecture, code, and the team building it.
  • Design the customs module, including its entry data model, duty and fee engine, CATAIR validation, and ABI filing with ACE.
  • Build the brokerage agent workflow, where agents draft and check entries and a broker approves them before filing.
  • Keep regulated logic deterministic and tested, using models only where inputs are ambiguous.
  • Build evaluation sets that gate every prompt, model, and rule change.
  • Make tariff and regulatory changes deploy as data or configuration within days.
  • Consolidate services and own the module in production.
  • Lead, hire, and mentor the team.

Desired Qualifications

  • Background understanding of customs brokerage.
  • Hands-on work with agentic frameworks such as Agno or LangGraph.
  • Java experience; the backend uses Java 21 with Micronaut.
  • U.S. customs knowledge, including ABI, ACE, CATAIR, HTS classification, ISF, Section 232, and Section 301.
  • Experience building MCP servers or similar tool interfaces for AI assistants.

About the Company

KlearNow.ai

Software infrastructure for licensed customs brokers

KlearNow provides software infrastructure for licensed customs brokers and importers of record to digitize trade documents, structure data, and run broker-configured rules so entry decisions can be made faster and smarter. Users configure extraction rules, the system pulls data from documents, identifies discrepancies, and executes the broker’s instructions while users own the data. The platform emphasizes user control and data ownership, focusing on executing the broker’s instructions rather than generic automation and is built around customs processes required by CBP. The goal is to help authorized entry decision-makers process trade documents quickly and accurately through rule-based, data-driven workflows they fully control.

Company size
201-500
Company stage
Series B
Total funding
$66M
Headquarters
Santa Clara, CA
Founded
2018

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