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Merciv

Agentic AI platform for enterprise insights

Full-Stack Engineer - AI Platform

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • You have 3+ years of engineering experience with meaningful work across frontend and backend.
  • You're proficient in TypeScript, React, and at least one of Go or Python.
  • You have experience with cloud infrastructure and modern deployment practices.

Responsibilities

  • Build and ship features end-to-end, with backend in Go or Python and frontend in React or TypeScript.
  • Design APIs, data models, and service architectures supporting Merciv's agentic AI capabilities.
  • Create intuitive interfaces that translate complex enterprise data into clear, actionable workflows.
  • Collaborate with ML/AI engineers to bring AI-driven features to production.
  • Own the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration.
  • Work directly with enterprise customer feedback to understand real-world needs and shape the product.
  • Contribute to infrastructure, tooling, and developer experience as the company scales.

Desired Qualifications

  • AWS cloud infrastructure is preferred.
  • Experience with agentic AI systems, LLM integrations, or RAG architectures.
  • Background in enterprise SaaS, retail technology, or data-intensive products.
  • Familiarity with data visualization, real-time systems, or streaming architectures.
  • Contributions to developer tooling, CI/CD, or infrastructure automation.

About the Company

Merciv

Agentic AI platform for enterprise insights

Merciv builds EVA, an agentic AI-powered data analytics platform that unifies an organization's data with external sources to support strategic business decisions. EVA ingests data from internal silos and external signals, unifies it, and allows users to ask questions in plain language, receiving data-driven answers with visualizations. It enables collaborative workflows, automated, proactive insights, and scalable data extraction and connection across datasets. Enterprise-grade security includes privatized AI models and PII scrubbing. What sets Merciv apart is the combination of data unification across many sources with an agentic AI that works with human input, a focus on proactive insights, and strong security in an enterprise context, all while operating with selective partnerships during stealth development. The goal is to change how organizations use data by building AI pipelines and forecasting capabilities to drive informed, data-backed decisions.

Company size
11-50
Company stage
Early VC
Total funding
$14M
Headquarters
New York City, New York
Founded
2017

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