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Design and implement the AI Factory Cloud platform, focusing on automation, optimization, and the lifecycle of CI/CD pipelines. Provide technical leadership and mentorship to co-workers while coordinating activities across related technologies.
Build and maintain AI agents and workflows using Claude Code and the Anthropic API. Design and manage complex automation systems using n8n, Zapier, and GoHighLevel to optimize business operations.
You will develop and maintain Model Context Protocol (MCP) tools to connect AI models with complex database environments. Additionally, you will refactor legacy code, expand test coverage for agentic coding assistants, and create technical documentation to support community adoption.
The Staff Software Engineer will lead the implementation and integration of Generative AI solutions into production software to solve complex business problems. They will also mentor engineering teams on AI adoption and collaborate with cross-functional stakeholders to deliver scalable, AI-enhanced features.
Create and execute role-play scenarios to evaluate and benchmark agentic audio models across various customer support domains. Contribute to the development of representative datasets and assess model performance based on qualitative and quantitative metrics.
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The Senior AI Platform Engineer will partner with executive leadership and product teams to identify AI enablement needs and build scalable AI platform solutions. This role involves designing AI best practices, implementing agentic coding tools, and mentoring internal teams to improve efficiency through AI-powered tooling.
The developer will architect and scale agentic AI and automation strategies to deliver measurable business value across commercial, supply chain, and R&D functions. They will build and deploy AI-powered applications, including RAG pipelines and enterprise system integrations, while ensuring data validation and quality monitoring.
You will drive business development and pre-sales activities while acting as a strategic AI advisor to clients. Additionally, you will represent the company as a thought leader through public speaking, workshops, and active community engagement.
You will drive business development and pre-sales activities while acting as a strategic advisor for AI implementations. Additionally, you will represent the company as a thought leader through public speaking, workshops, and active community engagement.
Lead the design and implementation of agentic pipelines and LLM-based applications while taking end-to-end responsibility from architecture to production. Define evaluation frameworks and feedback loops to ensure high-quality AI system performance and reliability.
You will build production-ready LLM-based applications and agentic workflows while integrating AI capabilities into existing architectures. Additionally, you will contribute to evaluation and monitoring practices to ensure the reliability and performance of AI systems.
Lead complex, end-to-end AI deployments and manage customer relationships throughout the engagement lifecycle. Architect multi-agent solutions, design personalized resource packs, and mentor junior engineers to ensure high-quality deployment standards.
Lead complex, multi-system AI deployments end-to-end, managing the full engagement lifecycle from technical discovery to production. Architect multi-agent solutions and design personalized resource packs while mentoring junior engineers and driving strategic intelligence loops.
You will design and build next-generation cloud-native EHR platforms while shaping technical architecture and product direction. The role involves operating at the intersection of distributed systems, cloud infrastructure, and applied AI to create scalable healthcare solutions.
You will lead a team of Decision Intelligence Analysts to manage the end-to-end integration of AI solutions within client environments. This involves setting delivery standards, overseeing model architecture, and serving as the primary technical contact for strategic client accounts.
You will design and produce visual content across various formats, including cinematic motion assets and campaign deliverables. Additionally, you will develop and implement AI-supported workflows to enhance creative production pipelines.
You will operate at the intersection of AI product strategy, sales, and customer success to define and launch conversational AI agents. The role involves leading complex projects, bridging the gap between technical teams and business stakeholders, and shaping agent behavior through data-driven insights.
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You will architect and build core backend systems while integrating AI models like LLMs into production workflows. Additionally, you will design scalable data infrastructure and collaborate directly with users to iterate on product solutions.
You will design and own the agent runtime and orchestration layer while building long-horizon agent workflows. Additionally, you will develop robust evaluation loops and ensure system reliability through metrics, alerts, and observability.
The Forward Deployed Engineer will partner with business stakeholders to rapidly build and deploy automation and AI-driven solutions. This role involves full-stack engineering, including data pipelining, backend development, and the creation of dashboards to solve complex business problems.
The AI Systems Analyst will design and implement AI workflows, agents, and automation pipelines to optimize investment firm operations. They will also evaluate existing systems and identify high-leverage applications for emerging AI platforms.
The AI Resilience Fund Manager will build and lead a new investment fund from the ground up, focusing on long-term portfolio strategy and asset allocation. This role involves active capital raising, sourcing investment opportunities, and advising investors on navigating an AI-transformed economic landscape.
You will architect and implement scalable AI platform services while directly applying large language models to build intelligent product features. Additionally, you will manage model lifecycle, infrastructure, and integration strategies to ensure high performance and security across the platform.
Design and maintain a robust platform for creating and managing intelligent AI agents with a focus on multi-agent coordination. Collaborate with cross-functional teams to integrate LLMs and orchestration frameworks while ensuring system scalability and data privacy compliance.
You will design and maintain a platform for creating and managing intelligent AI agents with a focus on multi-agent coordination. Additionally, you will integrate various LLMs and develop evaluation frameworks to ensure system-level performance and scalability.
Lead the design, development, and deployment of intelligent, user-facing AI features and products. Collaborate with cross-functional teams to integrate LLMs and ensure the scalability and performance of AI-powered solutions.
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You will architect and implement scalable AI platform services while directly applying large language models to deliver intelligent product features. This role involves building robust backend systems, managing model lifecycles, and ensuring high performance and security across the AI infrastructure.
Lead the design, development, and deployment of AI-powered features while orchestrating multiple LLMs to deliver personalized user experiences. Collaborate cross-functionally to translate user needs into technical solutions and ensure the scalability and performance of AI products.
You will own the end-to-end AI system layer, defining how intelligence flows across the entire product to create proactive, agentic workflows. You will lead and scale a multi-team engineering organization to build reliable, measurable AI primitives that enhance business operations.
Design and execute dynamic, AI-powered livestream experiences while managing the full content lifecycle from script writing to post-production. Collaborate with cross-functional teams to develop content strategies that drive engagement and conversion through data-informed insights.
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