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Deployed Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Deployed Engineer (AI): Co-architecting and building production AI agents with customer engineering teams with an accent on agent architectures, technical evaluations, and reliable operation at scale. Focus on deploying LLM-powered applications, designing multi-step workflows, and solving production challenges across evaluation, observability, guardrails, and cloud infrastructure.

Location: London, United Kingdom; On-site

Company

LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating AI agents at scale.

What you will do

  • Co-architect and co-build production AI agents with customer engineering teams.
  • Own the technical win in pre-sales by designing proofs of concept, answering technical questions, and guiding evaluations.
  • Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
  • Advise customers on architecture, best practices, and roadmap-level decisions after deployment.
  • Run technical demos, training sessions, and workshops for developer audiences.
  • Share field feedback and contribute reusable patterns, cookbooks, example code, and occasional upstream improvements.

Requirements

  • 3+ years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or product engineering.
  • Strong Python, JavaScript, and systems fundamentals.
  • Experience designing agent-based or LLM-powered applications with multi-step workflows, orchestration, and failure handling.
  • Experience working directly with customers during proofs of concept, architecture reviews, and technical evaluations.
  • Experience deploying AI agents in production, ideally with LangChain, LangGraph, or similar frameworks.
  • Experience with cloud environments, containers, basic Kubernetes concepts, and production software operations.

Nice to have

  • Experience in a startup or scale-up.
  • Experience with LLM evaluation, observability, or guardrails.

Culture & Benefits

  • Hands-on work at the intersection of engineering, product, and go-to-market.
  • Direct collaboration with customer engineering teams across the full product lifecycle.
  • Competitive base salary, variable compensation where relevant, equity, benefits, and perks.
  • Locally competitive benefits for team members in the EU, UK, and APAC.
  • Medical, dental, and vision coverage, flexible vacation, and other regional benefits.

Hiring process

  • Scope and compensation are discussed based on demonstrated impact, technical craft, leadership, and communication.
  • Compensation alignment takes place before the offer stage.

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