AI Forward Deployed Engineer

Vero

AI Forward Deployed Engineer needed by early-stage startup building a powerhouse platform to transform enterprise AI adoption. Backed by significant funding, long runway, and a strong pipeline of enterprise customers, the team is focused on delivering a category-defining AI workbench.

The product ingests messy, real workflows, automates them end-to-end, and continuously learns to codify human decision-making. This is a deployment-focused role, centered on shipping reliable, production-ready AI systems, not research.

As an AI-Forward Deployed Engineer, you’ll build and deploy AI capabilities that integrate directly into enterprise workflows, working closely with customers, product, and engineering to deliver impact quickly.

What’s on Offer

  • Up to $300,000
  • Strong bonus
  • Competitive equity
  • Hybrid in Palo Alto, 3 days onsite

What You’ll Do

  • Build and deploy AI-powered features across frontend, backend, and platform
  • Apply LLMs, RAG, embeddings, agents, document processing, and workflow automation
  • Prototype rapidly using real customer data and feedback
  • Ship user-facing AI with strong guardrails, reliability, and UX
  • Optimize systems for performance, latency, safety, and scale
  • Contribute to architecture, testing, observability, and production readiness
  • Partner with Product and Delivery to refine workflow-driven behavior
  • Build reusable platform components, libraries, and prompt frameworks

Requirements

  • BS required, Master’s preferred
  • Background in a Forward Deployed Engineering capacity
  • Experience deploying AI-enabled software in production
  • Comfortable in 0-to-1 and early-stage environments
  • Strong hands-on experience with LLM-based systems and RAG
  • Solid software engineering fundamentals
  • Track record of real-world deployments with measurable impact
  • Familiarity with enterprise workflows and unstructured data

Why Join

You’ll help turn fragmented enterprise workflows into a continuously improving AI platform without replacing systems or forcing process change. From day one, you’ll shape a product already seeing strong demand and work with a proven leadership team to define the next generation of enterprise AI.

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