Forward Deployed Engineer

Skills

About the Role

You embed directly with customer teams as the engineer on the ground. You lead discovery, find the real bottleneck, and define success metrics. You design and ship production agents, AI applications and coding-agent workflows, get a first version live in days, and harden it over weeks. You own production quality, integrate with the customer's auth, data and delivery systems, and leave the customer able to run what you built while feeding learnings back to product engineering.

Requirements

• 5+ years of experience in software engineering, machine learning engineering or data science
• Write and review production code in Python, JavaScript/TypeScript
• Owned a customer or operator outcome and shipped a scoped system
• Built and owned AI-native workflows or agents in production and debugged production failures
• Handled production reliability: metrics, alerts, safe rollouts, incident response
• Build end to end: frontend, backend, infra and prompt iteration
• Thrive in ambiguity
• Communicate with engineers and VPs

Responsibilities

• Lead discovery with the customer and define clear success metrics
• Design and ship production agents, AI applications and coding-agent workflows on Grok and SpaceXSI models
• Get a first version live in days and harden it with rollout, monitoring and iteration
• Own production quality including tracing, evals, debugging, and latency and cost tradeoffs
• Build tools, MCP servers, retrieval, rules, skills, CI gates and evals and integrate them into customer systems
• Measure outcomes such as revenue, cost, hours saved, error rate and cycle time
• Work directly with Staff+, platform and domain leaders
• Leave the customer team able to run what you built and turn learnings into reusable patterns