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You will design and build tools for the GitLab Duo CLI, shaping AI-assisted experiences within terminal workflows. You will also provide technical leadership, maintain high code quality, and collaborate across teams to ensure seamless integration of developer tools.
Develop and operate production-ready multi-agent systems and autonomous workflows using RAG architectures and LLMs. Collaborate in cross-functional teams to integrate AI applications and optimize performance through continuous monitoring.
You will own and operate the infrastructure powering sovereign AI, including Linux environments and cloud systems. You will also collaborate with research and product teams to troubleshoot incidents and ensure high availability for AI workloads.
Define the storage strategy, roadmap, and feature priorities for the k0rdent AI control plane. Collaborate with engineering, marketing, and field teams to deliver scalable, secure, and high-performance storage solutions for GPU-intensive workloads.
Design and develop agentic AI systems, including orchestration, infrastructure, and complex backend workflows. Implement monitoring, observability, and data access layers to ensure reliable and scalable production performance.
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You will lead the execution of growth marketing systems by building AI-enabled workflows and managing the integration between HubSpot, Salesforce, and other sales tools. You will partner with the Director of Growth Marketing to optimize lead routing, data quality, and campaign performance across the company's portfolio.
Develop and refine technical conformity criteria and testing methods for AI systems, focusing on safety, security, and performance. Collaborate with interdisciplinary teams to translate regulatory requirements into practical, quantifiable assessment processes.
Lead the architecture, development, and implementation of enterprise Generative AI and intelligent document solutions within a federal environment. Collaborate with cross-functional teams to integrate secure, scalable AI capabilities into existing enterprise systems.
Design, develop, and deploy scalable backend applications using Node.js and TypeScript while integrating Generative AI and LLM capabilities. Operate cloud-native architectures on AWS and ensure production systems meet high standards for performance, security, and resilience.
The Senior AI Advisor will lead AI solutioning, presales activities, and end-to-end architecture design for strategic client engagements. They will also provide technical leadership, mentor delivery teams, and contribute to the development of Lingaro's AI service offerings.
You will design, build, and operate scalable cloud-native infrastructure while automating deployment workflows to improve developer productivity. Additionally, you will partner with security and engineering teams to define non-functional requirements and resolve complex production incidents.
Design and build high-performance software foundations and context layers to support enterprise-scale Agentic AI workflows. Define technical roadmaps for AI-ready data lakehouses and lead cross-functional architecture reviews to ensure engineering excellence.
You will design and lead an enterprise-wide AI capability and reskilling program to transition employees from AI awareness to structured workflow redesign. This involves coaching leaders, building reusable frameworks, and measuring the impact of AI integration on organizational efficiency.
You will lead the AI and agentic strategy across the planning-to-opportunity process to improve campaign efficiency and conversion rates. This involves hands-on platform configuration, workflow design, and cross-functional collaboration with marketing and sales teams.
The Director of AI-Ready Endpoint Infrastructure & Security will lead the strategy, architecture, and operations of the enterprise endpoint ecosystem, ensuring it supports both human users and AI agents. This role involves implementing automated device lifecycle management, security hardening, and compliance enforcement within a Zero Trust framework.
You will serve as the founding design hire, establishing UX/UI practices and design standards for AI-driven client solutions. You will lead user discovery, create intuitive interfaces, and partner with product managers and engineers to deliver high-quality, production-ready AI products.
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You will own and drive the core platform experience, including homepage features and AI-powered personalization to optimize the end-to-end user journey. You will also collaborate with engineering and AI teams to translate model capabilities into user value while driving cross-functional execution.
The AI Social Video Producer will lead the creation of AI-assisted social and video content while documenting repeatable production workflows for internal teams. They will collaborate across departments to develop platform-native content that aligns with the brand's voice and audience standards.
You will work directly with customers to design, build, and deploy production-grade AI-powered solutions using LLMs and agentic technologies. Additionally, you will act as the technical voice of the customer to influence product roadmaps and mentor other engineers.
You will work directly with customers to design, build, and deploy production-grade AI solutions using LLMs and agentic technologies. Additionally, you will act as a technical owner to translate business requirements into scalable systems while providing feedback to internal product and engineering teams.
You will design and build the high-performance software foundation for enterprise AI, focusing on context retrieval and agentic workflows. This role involves defining technical roadmaps, leading architecture reviews, and standardizing platform interfaces for autonomous agent operations.
You will explore frontier AI capabilities to build interactive prototypes that inform product development and de-risk new directions. You will work closely with leadership to deliver explainable, high-quality software that can be handed off to production teams.
You will design, build, and operationalize end-to-end machine learning and generative AI solutions to support IT and business objectives. Additionally, you will engineer MLOps/LLMOps pipelines and establish technical standards to ensure AI solutions are production-ready, scalable, and maintainable.
The AI Strategist will lead client engagements to identify, prioritize, and operationalize high-value AI opportunities through business process analysis and strategy development. They will also build business cases, evaluate AI platforms, and guide senior stakeholders through investment decisions and implementation roadmaps.
The Enterprise AI Architect will lead the design and implementation of scalable AI and machine learning solutions to drive clinical and operational intelligence. They will orchestrate LLM-powered workflows, manage MLOps pipelines, and ensure compliance with healthcare data regulations.
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The Agentic AI Architect will design, deploy, and maintain scalable enterprise AI solutions, including agentic workflows and generative AI applications. They will lead technical discovery and architecture workshops while collaborating with stakeholders to integrate AI with ServiceNow and enterprise data systems.
The Agentic AI Architect will design, deploy, and maintain scalable enterprise AI solutions, including agentic workflows and LLM-powered applications. They will lead technical discovery and collaborate with stakeholders to integrate AI capabilities into ServiceNow and other enterprise systems.
You will lead the planning, execution, and delivery of complex AI/ML initiatives for an autonomous underwriting engine. This involves working cross-functionally with engineering, product, and business teams to define priorities and ensure the AI roadmap aligns with company goals.
The DevOps Engineer will build and operate infrastructure for data pipelines and AI/ML workloads while managing CI/CD processes. They will also partner with engineering teams to ensure the reliability, scalability, and cost efficiency of production systems.
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