Forward Deployed Engineer (YC experience)

Pragmatike · Remote · San Francisco · Sacramento · New York · Los Angeles · Boston · Seattle ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$200k – $400k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • Python, TypeScript, Go
  • AI/ML infrastructure
  • Customer-facing role
  • Senior level

Join a fast-growing technology company building advanced AI-powered infrastructure for enterprise clients. As a Forward Deployed Engineer, you will bridge the gap between engineering and customers, translating real-world requirements into robust production systems and accelerating technology adoption.

What you'll do

  • Collaborate with customers to define technical requirements and operational needs
  • Build, deploy, and customize solutions within customer environments
  • Develop integrations, APIs, automation scripts, and internal tools
  • Convert customer feedback into actionable product and engineering tasks
  • Troubleshoot complex issues across application and infrastructure layers
  • Partner with Product and Engineering teams to enhance platform capabilities
  • Manage projects from initial discovery through deployment and iteration
  • Create reusable solutions scalable across multiple customer accounts
  • Enhance deployment processes, documentation, and system observability

What you'll need

  • At least five years of professional software engineering experience
  • Proficiency in Python, TypeScript, Go, or similar programming languages
  • Proven track record of building and deploying production software
  • Strong skills in systems architecture, API design, and debugging
  • Experience working directly with customers or cross-functional stakeholders
  • Ability to thrive in ambiguous, fast-paced startup environments
  • Excellent communication and technical problem-solving abilities
  • High sense of ownership and ability to drive projects independently

Nice to have

  • Background in AI/ML systems or infrastructure
  • Experience with Kubernetes and cloud infrastructure
  • Previous work at a startup or scale-up company
  • Deploying software into complex enterprise environments
  • Familiarity with LLMs, model serving, or AI agents
  • Experience building developer tooling or automation

Stack

  • Python
  • TypeScript
  • Go
  • Kubernetes
  • LLMs
  • AI Agents

How you'll work

  • Fully remote position
  • Based in the United States
  • Full-time employment