Forward Deployed Engineer – Seattle

Jobtailor

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

6 days ago
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Job summary

Jobtailor in Seattle seeks an experienced engineer to lead end-to-end deployments of frontier models in production with strategic customers. You will own discovery, system design, build, and rollout, and measure adoption and impact.

This role requires 5+ years of engineering or deployment experience, production-grade coding in Python/JavaScript, and hands-on work with LLM-powered systems. You will collaborate with customer teams, product, research, security, and GTM, and you must be able to be

Qualifications

  • 5+ years of engineering or technical deployment experience.
  • Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
  • Production-grade coding across frontend and backend using Python, JavaScript, or comparable stacks.
  • Experience building or deploying systems powered by LLMs or generative models.
  • Understanding of how model behaviour affects product experience.
  • Clear communication with engineers, product teams, and customer stakeholders.
  • Ability to travel up to 50%.
  • Ability to work from the Seattle office three days per week.

Responsibilities

  • Lead complex end-to-end deployments of frontier models in production alongside strategic customers
  • Own discovery, technical scoping, system design, build, and production rollout
  • Measure production adoption, workflow impact, and eval-driven feedback
  • Partner directly with customer engineering and domain teams
  • Work closely with Product, Research, Partnerships, GRC, Security, and GTM teams
  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver customer value
  • Embed with customer teams, understand their needs, and guide adoption
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality
  • Contribute directly in code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or reusable building blocks
  • Share field feedback with Research and Product to improve models and products
  • Keep teams moving through clarity and follow-through

Skills

5+ years experience
LLMs/generative models
Full-stack Python/JavaScript
Customer-facing work
System scoping & design
Strong communication

Job description

Responsibilities
  • Lead complex end-to-end deployments of frontier models in production alongside strategic customers
  • Own discovery, technical scoping, system design, build, and production rollout
  • Measure production adoption, workflow impact, and eval-driven feedback
  • Partner directly with customer engineering and domain teams
  • Work closely with Product, Research, Partnerships, GRC, Security, and GTM teams
  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver customer value
  • Embed with customer teams, understand their needs, and guide adoption
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality
  • Contribute directly in code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or reusable building blocks
  • Share field feedback with Research and Product to improve models and products
  • Keep teams moving through clarity and follow-through
Requirements
  • 5+ years of engineering or technical deployment experience including customer-facing work
  • Experience scoping and delivering complex systems in fast-moving or ambiguous environments
  • Production-grade coding across frontend and backend using Python, JavaScript, or comparable stacks
  • Experience building or deploying systems powered by LLMs or generative models
  • Understanding of how model behaviour affects product experience
  • Ability to simplify complexity and make fast, sound decisions under pressure
  • Clear communication with engineers, product teams, and customer stakeholders
  • Ability to spot risks early and adjust without slowing down
  • Ability to model calm and judgment when stakes are high
  • Ability to work from the Seattle office three days per week
  • Ability to travel up to 50%
Core Competencies

Demonstrates expertise in leading complex deployments of frontier models, with a strong focus on customer engagement and technical delivery. Proficient in full-stack development and production-grade coding, particularly in Python and JavaScript, while effectively managing stakeholder communication and project risks.

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