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The Senior Applied AI Engineer will develop and prototype AI solutions, including GenAI and agentic systems, within a London-based insurance innovation team. The role involves full-stack development, backend services, and API integration using Google Cloud technologies.
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
AI Agent Engineering intern at Sendbird (Seoul) building, integrating and deploying intelligent agents using Python, LLM APIs, and web frameworks from prototype to production over an 8–12 week period.
Design and deploy autonomous AI agents, build RAG pipelines, and fine-tune LLM models using Azure AI Foundry and cloud environments.
This role involves building and maintaining analytics-ready data models and applied AI solutions using GCP, BigQuery, and Dataform. The engineer will partner with stakeholders to deliver production-ready data and AI workflows, including RAG and automated decision support systems.
Build and deliver AI agents and GenAI apps using LLMs, RAG, and cloud services; lead presales discovery, architecture, and customer demos.
Senior Applied AI Engineer building production AI applications using LLMs and RAG to accelerate mission workflows for a defense company.
State Street Investment Management (“State Street IM,” formerly known as State Street Global Advisors or SSGA) is seeking hands-on technology leader who will lead the Emerging Technology and Transformation team while…
About Vialto Labs ( VLabs ) Vialto Labs ( VLabs ) is responsible for redesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency across Vialto’s functional…
This role involves building AI-driven data ingestion pipelines and a unified data model for pharmaceutical CMC processes using Python, SQL, and LLM orchestration frameworks. The engineer will develop GxP-compliant infrastructure to integrate data from various laboratory systems and external partners.
Designs and deploys AI-powered automation agents to streamline enterprise workflows using Python, SQL, and Microsoft Power Platform on Azure.
Principal AI/ML Engineer builds, deploys, and scales LLMs and agentic frameworks into production, owning end-to-end ML pipelines and LLMOps practices for Dell’s Services AI team in Bratislava.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
Lead cross-functional programs to build data pipelines, AI-powered tools, and dashboards that turn operational data into actionable insights for Oracle’s cloud infrastructure delivery teams.
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
The AI Business Analyst will analyze operational data from platforms like ServiceNow and Jira to identify bottlenecks and drive automation opportunities. The role involves bridging operational teams with AI-enabled delivery practices by translating technical telemetry and workflow data into actionable business insights and runbooks.
Agentic AI Engineer Position ID: P946333 Location: Hangzhou, China Employment Type: Full-time Role Summary We are seeking an experienced Agentic AI Engineer to design, build, and evolve enterprise-grade Agentic AI…
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
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