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9 часов Π½Π°Π·Π°Π΄

Deployed Engineer (AI)

200Β 000 - 250Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

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ОписаниС вакансии

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TL;DR
Deployed Engineer (AI): Building and deploying production AI agents with customer engineering teams, from technical discovery and proof-of-concept design through rollout and operation, with an accent on applied AI, architecture, and customer-facing technical leadership. Focus on solving production deployment challenges, evaluating LLM systems, designing reliable agent workflows, and translating field feedback into reusable code and product improvements.

Location: Remote, based in the United States; Dallas, TX or Austin, TX listed

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, and advise customers after the sale.
  • Share field feedback with product teams and create reusable proof-of-concept assets, cookbooks, example code, and upstream contributions.

Requirements

  • 6+ years of experience in solutions engineering, sales engineering, customer engineering, software engineering, founding engineering, or product engineering.
  • Experience owning the technical side of a sales cycle, including discovery, proof-of-concepts, architecture reviews, and competitive evaluations.
  • Ability to explain technical tradeoffs clearly, build trust with developer audiences, and take responsibility for customer outcomes.
  • Experience deploying AI agents in production, particularly with LangChain, LangGraph, or similar frameworks.
  • Genuine interest in operating AI agents in production rather than building demos only.

Nice to have

  • Experience carrying a technical number or working alongside a sales team against pipeline.
  • Experience with LLM evaluation, observability, or guardrails.
  • Experience with AWS, GCP, or Azure, containers, and basic Kubernetes concepts.

Culture & Benefits

  • Hands-on work at the intersection of engineering, product, and sales.
  • Direct impact on customer deployments, closed deals, and product direction.
  • Medical, dental, and vision coverage for US team members.
  • Flexible vacation, a 401(k) plan, and meals on in-office days in the US.
  • Base salary, variable compensation where relevant, equity, benefits, and additional perks.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’