Роль четко определена с акцентом на приложения LLM, но отсутствие информации о зарплате является недостатком. Стартап-среда и конкурентные преимущества добавляют привлекательности.
?Зарплата не указана
Стартап-среда
Фокус на AI
Четкая роль
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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