Staff Forward Deployed Engineer

Pragmatike · Remote · San Francisco · Sacramento · New York · Los Angeles · Boston · Seattle ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$200k – $400k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • Staff level role
  • Python, TypeScript, Go
  • AI/ML infrastructure
  • $200k-$350k USD

Join a fast-growing technology firm building advanced AI-powered infrastructure for enterprise clients. As a Staff Forward Deployed Engineer, you will lead complex technical deployments and solve high-impact customer problems at the intersection of product, engineering, and infrastructure.

What you'll do

  • Collaborate with customers to define technical requirements and operational needs
  • Build, deploy, and customize production solutions in client environments
  • Develop integrations, automation scripts, APIs, and internal tooling
  • Translate 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
  • Own projects from technical discovery through deployment and iteration
  • Create reusable solutions that scale across multiple customer accounts
  • Improve deployment processes, documentation, and system observability

What you'll need

  • At least 7 years of professional software engineering experience
  • Strong programming skills in Python, TypeScript, Go, or similar languages
  • Proven experience building and deploying production software systems
  • Solid understanding of systems, APIs, integrations, and debugging
  • Experience working directly with customers or cross-functional stakeholders
  • Ability to operate effectively in ambiguous and fast-moving environments
  • Strong communication and technical problem-solving abilities
  • High sense of ownership and ability to drive projects independently

Nice to have

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

Stack

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

How you'll work

  • Fully remote position
  • Must be located in the United States
  • Full-time employment
  • Start date is ASAP