Senior/lead Forward Deployed Engineer - Us

Parloa

Remote
$160,000—$230,000 usd py
Remote
Lead end-to-end deployment projects
Engineer integrations across systems and apis
Hands-on code-first development
Parloa is seeking a Senior/Lead Forward Deployed Engineer to lead the deployment of AI technologies in complex enterprise environments. The ideal candidate will have extensive experience in software engineering, systems integration, and a strong technical background, particularly in deployment solutions that meet enterprise-grade requirements

Job Summary

  • Lead end-to-end deployment projects from an engineering perspective, engineering what's required to make cutting-edge technology succeed at enterprise scale.
  • Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements, operating at the intersection of backend engineering, DevOps, and data engineering.
  • Act as the feedback loop between the field and core engineering teams, turning deployment learnings into platform evolution and delivering long-term impact.

Matching Summary

Match Score: 85

Parloa is seeking a Senior/Lead Forward Deployed Engineer to lead the deployment of AI technologies in complex enterprise environments. The ideal candidate will have extensive experience in software engineering, systems integration, and a strong technical background, particularly in deployment solutions that meet enterprise-grade requirements.

Salary

$160,000—$230,000 USD

Skills & Requirements

Must-have

  • Lead end-to-end deployment projects
  • Engineer integrations across systems and APIs
  • Hands-on code-first development
  • Design for scale and resilience
  • Debug under pressure in mission-critical environments
  • Python, TypeScript, Node.js experience

Nice-to-have

  • Experience building AI/LLM-powered systems
  • Creative problem-solving
  • Bias for action and obsession with making things work

Key Requirements

  • 7+ years professional experience
  • Leading deep technical deployments
  • Strong technical depth across backend, IaC, Kubernetes/cloud, APIs, databases
  • Experience going hands-on in production systems
  • Ability to operate independently in ambiguous settings
  • Degree in Computer Science, Engineering, or related technical field

Work Rights

Not specified

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