Мэтч & Сопровод
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Описание вакансии
Текст:
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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