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Build and fine-tune large language models for healthcare, creating conversational AI that automates claims and improves patient experiences using Python, PyTorch, and cloud ML platforms.
Build and deploy AI-powered workflows at GitLab, integrating LLMs and agentic systems into Sales, Marketing, and Support to remove bottlenecks and measure business impact.
Build and deploy AI-powered workflows for GitLab’s internal teams, diagnosing real business problems and integrating LLMs and agentic systems into Sales, Marketing, and Support workflows.
A senior engineer works directly with strategic customers to diagnose and resolve complex DevSecOps challenges, contribute production code to GitLab’s product, and drive AI adoption while collaborating across teams.
Lead the secure development and operation of AI agents and autonomous workflows at a global asset manager, embedding security controls into AI systems and CI/CD pipelines while mentoring engineers on secure coding and AI risks.
Build and deploy enterprise-grade AI agents and copilots for customer experience, integrating LLMs, APIs, and telephony systems while leading client-facing demos and implementations.
Designs, integrates, and deploys enterprise-grade AI agents and copilots for customer experience, focusing on prompt engineering, workflows, and API integrations with LLMs and telephony systems.
Build and own Python microservices on AWS, integrate LLM workflows, and mentor peers while collaborating with US clients to deliver scalable backend solutions.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build and deploy AI-powered features and automations for a fintech/proptech company, integrating LLMs, RAG, and low-code tools into production workflows.
Key Responsibilities: • Design, build, and maintain full-stack features across the iMBSE platform, including user-facing web applications, orchestration APIs, and backend microservices. • Develop and deploy agentic AI…
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Designs intuitive, human-centered AI-powered financial interfaces, collaborating with engineers to turn complex LLM capabilities into trustworthy, compliant user experiences.
Build and maintain customer-facing features, REST APIs, backend services, and data workflows for an AI-driven cybersecurity threat detection platform, primarily using Python and relational databases.
This role involves designing, building, and deploying production AI features for the DIMS research management platform, focusing on agentic workflows, natural language search, and integrating large language models. The position requires strong Python skills and experience with modern web application development and Azure AI services.
About Dropzone AI Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently…
Build and deploy AI agents and LLM-powered workflows to automate internal processes, integrating data sources and ensuring secure, reliable AI solutions in a cloud networking and security company.
The Agentic AI Engineer will design and deploy LLM-powered agentic workflows to automate and optimize internal product support processes. The role focuses on building production-grade AI systems using frameworks like LangGraph and Python, ensuring reliability, security, and effective collaboration with business stakeholders.
A Verity está buscando novos talentos! Somos uma consultoria de transformação e inovação digital e buscamos um(a) Consultor Pleno de IA Generativa - REMOTO para fazer parte dessa jornada. Olha só quais são as…
Build and maintain AI-powered web apps using React, Python/Node.js, and AWS, integrating LLMs like Amazon Bedrock and RAG workflows while ensuring security and scalability.
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