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Lead a team building AI-powered cloud systems at JPMorganChase, integrating LLMs, RAG pipelines, and agentic workflows while leveraging AI coding assistants daily.
Build and test AI-powered prototypes and integrations in Python/C# to enhance products and workflows, focusing on LLMs, RAG, and prompt engineering.
Lead a team of NLP engineers to build LLM assistants, intelligent search, and document processing for a top-5 Russian bank using fine-tuning, RAG, and vector databases.
Build secure backend services that power AI and generative-AI solutions for government systems, including model pipelines, APIs, and retrieval-augmented generation workflows.
Build secure, scalable web apps for government AI services using React, Java/Spring Boot or .NET, and cloud platforms like AWS or GCC.
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Build and integrate AI features into production systems using LLMs, agent orchestration, RAG, and knowledge graphs, ensuring reliable, secure deployment in distributed environments.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Build and maintain Python-based AI workflows using LLM frameworks to automate financial business processes and create conversational agents for internal and client-facing use.
Sales Enablement AI ArchitechThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global…
Lead the architecture and modernization of RingCentral’s cloud-native data platform, integrating batch, streaming, and AI/ML workloads to power analytics and agentic voice AI products.
Build and productionize AI features from proof-of-concept to full scale, writing Python code, running tests, and aligning solutions with business needs.
Own the strategy and roadmap for Salesforce’s internal AI and portfolio-management platforms, driving adoption of generative AI, agents, and RAG to improve enterprise productivity and decision-making.
Lead enterprise data governance, FAIR data practices, and AI-readiness initiatives to ensure trusted, reusable data for analytics and automation in a biotech company.
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is…
Design and build an AI-native platform for e-commerce product intelligence, including LLMs, AI agents, and data pipelines, while shaping the engineering team from the ground up.
Обязанности: Разрабатывать системы анализа здоровья: наше ключевое направление AI, который помогает пользователю понять своё состояние и вовремя дойти до врача; Внедрять AI-фичи в продукт и в компанию: интеграция LLM…
We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis…
WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through…
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