Назад
1 день назад

Solutions Engineer (AI)

200 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Solutions Engineer (AI): Designing, building, and deploying production AI agents with customer engineering teams, with an accent on technical discovery, architecture reviews, and production rollouts. Focus on scoping real-world evaluations, solving LLM evaluation and observability challenges, and turning customer requirements into reliable agent-based applications.

Location: Remote, based in the United States; Chicago, IL listed as the location

Annual OTE: $200,000–$250,000 USD

Company

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

What you will do

  • Partner with account executives to scope evaluations, conduct technical discovery, and design proof-of-concepts based on customer workloads.
  • Lead architecture reviews, security and infrastructure discussions, and competitive technical evaluations.
  • Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout.
  • Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
  • Run technical demos, trainings, and workshops for developer audiences.
  • Advise customers after the sale, identify expansion opportunities, share field feedback with product, and contribute reusable code and POC assets.

Requirements

  • 6+ years of experience in solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering.
  • Experience owning the technical part of a sales cycle, including discovery, POCs, architecture reviews, and competitive evaluations.
  • Ability to explain technical tradeoffs clearly and build trust with developer audiences.
  • Track record of taking responsibility for outcomes and operating effectively in ambiguous environments.
  • Genuine interest in operating AI agents in production rather than building demos only.

Nice to have

  • Production experience with AI agents, especially LangChain, LangGraph, or similar frameworks.
  • Experience carrying a technical number or working alongside a sales team on pipeline.
  • Experience with LLM evaluation, observability, or guardrails.
  • Experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts.

Culture & Benefits

  • Remote work with meaningful impact on product direction and customer deployments.
  • Medical, dental, and vision coverage.
  • Flexible vacation.
  • 401(k) plan and meals on US in-office days.
  • Compensation includes base salary, variable compensation for relevant roles, equity, benefits, and perks.

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