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Design, build, and deploy AI-powered applications and agentic workflows using LLMs and RAG architectures. Collaborate with cross-functional teams to integrate AI capabilities into existing platforms to improve user experiences and automate business processes.
Develop and deploy scalable AI/ML models and RAG systems using AWS Bedrock and various machine learning frameworks. Design RESTful APIs and manage cloud infrastructure including CI/CD pipelines and containerized deployments.
Design and deliver end-to-end AI-powered products, focusing on multi-agent systems and real-time voice pipelines. Responsibilities include building backend services with Node.js and creating embeddable web interfaces using React or Svelte.
Design and govern an enterprise-scale MCP server ecosystem to connect LLMs with critical business systems like SAP and Salesforce. Build production-grade servers and define tool schemas and orchestration patterns for AI virtual employees.
Research and develop LLM-based solutions for document intelligence, semantic search, and data extraction to automate insurance workflows. Partner with product and engineering teams to deploy advanced AI research into customer-facing production systems.
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Deploy and tailor AI-powered workflows for insurance customers by integrating with agency management systems. Act as the technical bridge between clients and the core product team to turn real-world requirements into shipped systems.
Build intuitive, high-performance frontend experiences and reusable UI components for AI-powered insurance workflows. Collaborate with design and backend teams to translate Figma designs into seamless React applications.
Develop and deploy AI-powered solutions for insurance brokers, focusing on document review and quote comparison. Build and productionize scalable features across the full technical stack from backend systems to frontend experiences.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding complex domain concepts.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding complex domain concepts.
Lead and mentor an AI engineering squad, translating product demands into scalable technical architectures and roadmaps. Focus on optimizing development processes and tracking key performance metrics for usability and retention.
Design and implement production-ready AI agent workflows using KPU technology to solve enterprise problems. Build evaluation frameworks to measure AI performance and optimize workflows for reliability and explainability.
Define and drive the product strategy and roadmap for AI, analytics, and data fusion capabilities to support complex investigations. Collaborate with engineering, sales, and leadership to translate customer needs into scalable technical solutions and high-impact product directions.
Drive product initiatives for the AI Agent Studio, focusing on the AI Agent Builder and Human-in-the-Loop interfaces. Translate customer needs and technical opportunities into detailed specifications and manage the end-to-end delivery of product increments.
The role involves managing GoHighLevel CRM, building AI-driven automation workflows, and optimizing the company website for SEO. The specialist will work with the founder to streamline internal processes and improve organic lead generation.
The role involves using Generative AI tools to create multimedia content, including tour scripts, marketing copy, and graphic designs. The specialist will collaborate with creative and marketing teams to ensure brand alignment and implement innovative AI workflows.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from development through iteration.
Record short video and audio clips acting out scripts with various tones and emotions. Listen to and transcribe audio and video content to help AI understand human intent.
Design, develop, and implement Generative AI solutions using Python, LLMs, and RAG. Integrate AI capabilities with APIs, databases, and enterprise legacy systems within AWS environments.
Own the full product loop from user discovery to shipping AI-powered features by embedding directly with clients. Build and harden full-stack applications using modern frameworks while integrating LLM capabilities to solve real business problems.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
Design and deploy production AI agents that synthesize clinical data to provide proactive care recommendations for clinicians. Own the full lifecycle of AI workflows, including retrieval, reasoning, safety guardrails, and evaluation frameworks.
Build and deploy AI-powered tools and agents to automate manual workflows across internal operations, finance, and customer success teams. Partner with executive leadership to identify high-leverage operational problems and define the company's internal AI strategy.
Lead the vision and roadmap for Paid Search and AI Search Advertising integrations, specifically focusing on Google Ads and Microsoft Advertising. Manage the technical execution of API updates while driving innovation in conversational AI interfaces and emerging search surfaces.
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Build and lead the AI & Automation practice, overseeing service line growth, internal AI adoption, and the development of reusable AI assets. Drive revenue growth by shaping market-facing offerings and leading high-impact client engagements involving complex AI architectures.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to align technical strategies with business goals.
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
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