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Builds AI agents and RPA automations using WorkFusion, LangChain, and vector databases to orchestrate document intelligence and enterprise workflows.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Design and operate Capital Group’s enterprise AI platform, building scalable vector databases, RAG pipelines, agent frameworks, and AI Gateways to securely deploy generative AI and agentic solutions across the firm.
Principal AI architect designs secure, scalable AI platforms and reusable patterns for an insurance group, guiding GenAI agents, RAG, and enterprise integrations from concept to production.
Partner Solutions Architect at Elastic helps resellers and cloud providers build technical capability to sell and deploy Elastic’s search, security, and observability platform across Latin America.
Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the…
Build and improve Kharon’s AI-powered risk intelligence platform, focusing on semantic search, RAG pipelines, and agentic systems to surface entity-level insights and risk narratives for global security clients.
Build and refine Kharon’s risk-intelligence search platform using semantic search, RAG, and graph-aware retrieval to surface entity-level insights and risk narratives for global security clients.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Build a data-driven Creative Engine for a performance ad agency: design pipelines, LLM video analysis, and semantic search to turn ad performance into queryable insights for strategists.
Build and scale Microsoft’s Semantic Fabric, a semantic indexing platform for enterprise data that powers Copilot with low-latency, high-availability search and retrieval at exabyte scale.
Build and deploy full-stack AI applications and agentic systems for enterprise customers, embedding with teams to prototype, refine, and operationalize scalable AI solutions using modern AI frameworks and Cloudera’s platform.
Data Scientist in McLean, VA builds and runs NLP models, analyzes large datasets, and creates reports for a government sponsor using Python, SQL, and deep learning frameworks.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Builds AI-powered apps on Azure using Python, FastAPI, and Azure AI services like OpenAI and semantic search.
Suche verändert sich gerade grundlegender als je zuvor: AI Overviews, ChatGPT, Gemini, Perplexity und autonome Shopping-Assistenten bestimmen zunehmend, wie Menschen Produkte entdecken und kaufen. Als Senior SEO/GEO…
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