Mea Platform

Senior Full Stack AI Engineer

Agentic AI platform automating end-to-end (re)insurance underwriting and operations

2026•Ongoing
Next.jsReactTypeScriptNode.jsNestJSAWSPostgreSQLLLM IntegrationsMicroservices
ai
M
meaplatform

Mea Platform

Agentic AI platform automating end-to-end (re)insurance underwriting and operations

Next.jsReactTypeScriptNode.jsNestJS
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Problem Solved

Replaces fragmented (re)insurance workflows — Excel sheets, scattered emails, manual document review — with one agentic AI platform that ingests submissions, runs validation and compliance, enriches risks, and delivers underwriter-ready packages in seconds instead of days.

Overview

  • •Joined as Senior Full Stack AI Engineer on a cloud-native (re)insurance AI platform trusted by global carriers, brokers, MGAs, and reinsurers
  • •Built UI and workflow orchestration features for submission ingestion, validation, enhancement, and triage agents
  • •Worked on agentic workflows powered by Mea's proprietary domain-specific language model (Ora)
  • •Engineered submission-to-settlement automation that eliminates manual handoffs across underwriting operations
  • •Integrated regulatory + sanctions checks and risk-appetite rule engines into the platform UI
  • •Contributed to data extraction, normalization, and underwriter-ready package generation flows

Key Skills Demonstrated

Agentic AI Workflow EngineeringDomain-Specific LLM Integration(Re)insurance Underwriting Domain ModelingSubmission-to-Settlement AutomationCompliance & Sanctions IntegrationAudit-Friendly UI DesignMulti-Tenant Enterprise SaaS

Challenges

  • •Modeling complex (re)insurance workflows (submission → validation → enhance → triage → settlement)
  • •Integrating a proprietary domain-specific LLM into production underwriting flows
  • •Surfacing AI agent decisions in a UI underwriters can audit and override
  • •Meeting strict regulatory, compliance, and sanctions-check requirements

Solutions

  • •Built workflow-driven UIs that visualize each agent step and let underwriters intervene at any stage
  • •Wired the Ora LLM into submission ingestion + risk enhancement pipelines via typed service contracts
  • •Designed audit-friendly views with full transparency into agent reasoning, data sources, and rule hits
  • •Embedded compliance and sanctions validations directly into the orchestration layer

Key Achievements

  • Built UI and workflow features for an AI platform trusted by global carriers, brokers, and MGAs
  • Shipped agentic flows for submission ingestion → validation → enhancement → triage
  • Integrated proprietary domain-specific LLM (Ora) into production underwriting paths
  • Delivered audit-friendly views giving underwriters full transparency into AI decisions

Tech Stack

Frontend

Next.jsReactTypeScriptTailwind CSSTanStack Query

Backend

Node.jsNestJSPostgreSQLAWSMicroservicesDomain-Specific LLM (Ora)Agentic AI Orchestration

Deployment

Cloud-native deployment serving global carriers, brokers, MGAs, reinsurers, and BPOs

Third-Party Integrations

Ora (proprietary LLM)Regulatory & Sanctions Data ProvidersRisk Data Enrichment APIs