Роль четко определена с акцентом на решения в области ИИ, а зарплата соответствует рыночным ожиданиям, что делает эту вакансию привлекательной.
Кликните для подробной информации
Четкая рольСредняя зарплатаСтартап-среда
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →