Forward Deployed Engineer
描述混沌实验室正在为企业构建一个新的人工智能平台，专注于组织如何在人工智能本土世界运作和创造价值。我们将多年的经验建立应用人工智能和任务关键基础设施带入了新类型的企业软件中。此前，混沌实践室建造了网络金融的主要风险管理平台，处理超过5万亿美元的财务量并管理数十亿美元的资产。我们从 Haun Ventures,Lightspeed,Galaxy,General Catalyst,Bessemer,F-Prime,PayPal 等公司筹集了6500万美元。我们正在与一个小团队建立一个技术雄心勃勃的问题，我们认为人工智能将随着公司的工作方式的重塑而变得越来越重要。我们如何工作混乱是围绕高机构和高才华的个人贡献者构建的。我们保持团队规模较小，赋予人们有意义的所有权，并期望他们以自主性，强烈判断力和高标准运作。我们聘请能够采取模糊，重要的问题并推动它前进的人员。不仅仅执行根据预定义路线图。标题比影响更少重要，并且最接近问题的人员被信任做出决策和拥有结果。我们快速移动，保持工作的密切关系，并深入关注构建事物。拥有力超过指导能力。对等级的影响。我们聘请一个前进部署工程师来掌握技术客户旅程，将复杂的客户问题转化为可测量价值的生产人工智能解决方案。这是一个具有高影响力的角色，从第一天起具有显著的所有权。你将与我们的产品领导者，销售副总裁和工程团队紧密合作，以从技术发现和解决方案设计到实施，生产部署，采用和扩张，通过执行和可测量的影响取代问题。你将做什么 · 自主战略人工智能部署从终端到终点，从发现和范围通过架构，实施，评估，生产推广和采用。· 在售前与我们的商业团队合作，领导技术发现，解决方案设计和验证战略客户机会。·通过领导实现和集成工作来推动销售后的技术成功。·使用 LLM 和现代 AI 模型建立生产人工智能系统，包括模型 API,工具调用，检索，
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Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software.
Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.
We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes. We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Forward Deployed Engineer to own the technical customer journey and turn complex customer problems into production AI solutions that deliver measurable value. This is a high-impact role with significant ownership from day one. You’ll work closely with our Product Lead, VP of Sales, and Engineering teams to take strategic customers from technical discovery and solution design through implementation, production deployment, adoption, and expansion, taking problems from ambiguity through execution and measurable impact.
What You’ll Do
- Own strategic AI deployments end to end, from discovery and scoping through architecture, implementation, evaluation, production rollout, and adoption.
- Partner with our commercial team during pre-sales to lead technical discovery, solution design, and validation for strategic customer opportunities.
- Drive post-sales technical success by leading implementation and integration work that moves customers from initial concept into production.
- Build production AI systems using LLMs and modern AI models, including model APIs, tool calling, retrieval, and context management, structured outputs, and agentic workflows.
- Bring customer insight back into the product, identifying patterns across deployments and turning one-off solutions into reusable components, tooling, playbooks, and product capabilities.
- Identify opportunities, form strong points of view, and turn them into action.
Requirements
- 5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with meaningful customer ownership.
- A track record of taking ambiguous customer problems from discovery through production deployment
- Strong technical and commercial judgment, with the ability to make effective trade-offs across customer needs, product capabilities, and engineering complexity.
- Proficiency with SQL, APIs, integrations, authentication, cloud infrastructure, and production observability.
- Ability to write clean code in Python and/or Rust and React/Typescript.
- Hands-on experience building AI-powered applications, including working with model APIs, context management, tool calling, retrieval, evaluation, and cost-quality-latency tradeoffs.
- Comfort operating in ambiguity and taking ownership without waiting for direction.
- Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
- Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team.
- Excellent written and spoken English, with the ability to communicate complex technical decisions clearly to both engineering and business audiences.
- Familiarity with profiling tools and performance optimization techniques.
- Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits
- Compensation & Equity – competitive package aligned with growth, performance, and merit
- Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
Originally posted on Himalayas