JavaScript AI Jobs

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As the Senior Director of Engineering for Developer Experience at Crusoe, you will own and drive the strategy, execution, and culture of the team responsible for how Crusoe's engineers and non-engineers build, ship, and operate software. Responsibilities include defining and executing the long-term vision for Crusoe's internal developer platform, which encompasses shared services, internal APIs, repositories, and self-service infrastructure to enable engineering teams to move quickly and confidently. You will also rapidly develop and productionize AI-powered tools for the entire company, creating and evangelizing best practices for productionizing AI-developed tools and evaluating SaaS purchases. Additionally, you will oversee the design, reliability, and continuous improvement of CI/CD pipelines, build systems, and deployment infrastructure to ensure safe and rapid scaling of engineering teams' shipping processes. Your role will also involve defining and driving organization-wide engineering productivity initiatives by establishing metrics, identifying bottlenecks, and implementing tooling and process improvements that enhance developer experience across Crusoe. People leadership is a key responsibility, including managing and growing a team of engineers and fostering a high-performance culture based on accountability, innovation, and continuous learning. Furthermore, you will collaborate with senior leaders across Engineering, Infrastructure, Security, and Product to align Developer Experience investments with company-wide engineering goals and priorities.

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The Deployed Engineer will co-architect and co-build production AI agents with customer engineering teams, own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations, help customers deploy and operate agent-based applications including conversational agents, research agents, and multi-step workflows, and advise customers post-sale on architecture, best practices, and roadmap-level decisions. They will also run technical demos, trainings, and workshops for developer audiences, surface field feedback, contribute reusable patterns, cookbooks, and example code that scale across customers, and occasionally contribute code upstream when it meaningfully improves customer outcomes.

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The Senior Forward-Deployed Engineer, Federal at Deepgram is responsible for owning technical delivery across federal deployments from initial prototype to stable production. They embed deeply with federal customers to design and build mission-critical applications using Deepgram's Voice AI models, lead technical discovery and solution design for federal prospects and customers, and prototype and build full-stack integrations with technologies such as Python, JavaScript, or Rust. They enable successful deployments by delivering observable systems spanning infrastructure through applications and proactively guide federal stakeholders on platform operational value, including performance optimization and deployment strategies. Responsibilities include scoping work, sequencing delivery, removing blockers, managing relationships with customer leadership and technical stakeholders, contributing to code when necessary, codifying working patterns into reusable tools and playbooks, sharing field feedback with Product and Engineering, serving as an escalation point for technical issues, and analyzing deployment patterns to inform product and go-to-market strategies. The role involves significant collaboration internally and externally, including technical engagements pre-sales, building reusable solutions, and contributing to Applied Engineering strategy.

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The Senior Software Engineer will build a powerful project innovating customer support by defining what an AI-first SaaS product looks like, addressing unique UI/UX, capabilities, and data model challenges of an AI-first company. They will lead ambitious and ambiguous projects involving strong technical decision-making, effective implementation, and incorporate product and design instincts. The engineer will work across the tech stack, collaborate with a top-caliber team, and mentor or lead less experienced engineers. They will participate in an engineering-led culture where everyone owns working with users and building a great product, taking ownership of challenging problems and defining and implementing solutions.

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Forward Deployed Engineers (FDEs) are responsible for leading complex end-to-end deployments of frontier models in production alongside strategic customers, owning discovery, technical scoping, system design, build, and production rollout. They operate across multiple deployments from the first prototype to stable production, build full-stack systems that deliver customer value, embed closely with customer teams to understand their needs and guide adoption, scope work, sequence delivery, remove blockers, make trade-offs between scope, speed, and quality, contribute directly in the code for clarity or progress, codify working patterns into reusable tools or playbooks, share feedback with Research and Product teams regarding model performance, and maintain team progress through clarity and follow-through.

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Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time; build high-throughput backend applications and services; create tooling that helps AI systems minimize mistakes through static analysis and deterministic techniques; develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences; support sophisticated user interfaces, including terminals, code editors, window-management systems, and innovative experiences that require both creativity and algorithmic skill; and bridge the gap between prompt engineers and frontend engineers. Telecommuting is permitted with in-office presence required three times a week (Monday, Wednesday, Friday), with only incidental domestic travel required.

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Lead technical delivery with OpenAI partners across EMEA, supporting customer deployments built on the OpenAI platform for a variety of industries and use cases. Work with partner delivery teams and customer stakeholders to translate solution designs into deployable, production-ready architectures. Support customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting. Collaborate with Solutions Engineers, Forward Deployed Engineers, and other ADEs to engage appropriate technical expertise from design through to production rollout. Help partners operationalize solutions addressing scalability, reliability, security, and safety for enterprise production. Contribute to reusable deployment patterns, reference architectures, and delivery guidance to enable repeatable execution. Act as a technical quality and governance point during deployments ensuring solutions meet OpenAI's standards and best practices. Capture and synthesize feedback from customer deployments to improve delivery playbooks and platform capabilities through collaboration with Applied, Research, and partner teams.

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Build systems that integrate with the EHRs used in American healthcare to make Heidi feel like a native capability rather than a plugin. Develop systems that simplify the complexity of US healthcare billing, compliance, and payer constraints so clinicians do not have to manage these complexities. Write clean, testable code with strong interfaces, error handling, and observability, ensuring the workflows are reliable for clinicians, operators, and downstream systems. Focus on outcomes by ensuring that the built systems help clinicians and improve practice revenue. Create agentic workflow functionalities where AI assists with extraction, reconciliation, and drafting within workflows, incorporating human review, auditability, and control. Collaborate closely in a team environment with frequent pairing and shared ownership of design and implementation. Learn about healthcare organizational operations, especially those serving US customers, to translate requirements and constraints into product improvements.

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The Director of Forward Deployed Engineering will own the Forward Deployed Engineering program end-to-end, including building the team, defining the operating model, and ensuring top strategic accounts feel prioritized. Responsibilities include building, hiring, and managing a team of software engineers and managers deployed into strategic accounts; defining staffing models, engagement structures, and capacity allocation across accounts; developing specialist pods of engineers for new verticals; setting and upholding quality standards for client deliverables, documentation, and knowledge transfer. The role also requires maintaining deep technical fluency to scope custom builds, unblock engineering decisions, and evaluate solution quality; overseeing the design and implementation of tailored workflows, retrieval systems, agent tools, and knowledge sources on Harvey's platform; and ensuring solutions are operationalized with evaluations, documentation, and user training. Additionally, the Director will identify patterns across client engagements to inform product and engineering leadership about client needs and product opportunities with specificity.

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Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.