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Навыки: Python, Keras, TensorFlow, PyTorch, Машинное обучение, Linux, Docker, Git, Bash. Квалификация: Lead. Специализации: Промпт-инженер. Дневник.ру входит в ТОП-10 мировых образовательных платформ по посещаемости.…
About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. Our…
Build the AI intelligence layer (EMMA orchestration system) for Niural's payroll/HR platform, shipping production LLM features including agent workflows, RAG pipelines, and document extraction on payroll and compliance data using Python.
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Lead the design and implementation of a semantic layer and agentic AI system for pharmaceutical CMC data, building knowledge graphs, ontologies, and retrieval pipelines to power AI-assisted scientific workflows in a regulated environment.
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
The Senior Data Engineer will modernize and optimize NBME's data platform by building scalable data pipelines, data lakes, and AI/ML-ready data solutions on AWS. This role involves collaborating with cross-functional teams to support analytics and AI initiatives while promoting AI-assisted engineering best practices.
Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s…
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on…
At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that…
Key Responsibilities Design, develop, and maintain responsive, high-quality web applications across the full stack. Collaborate with product managers and designers to translate business requirements into technical…
The Lead Full Stack Developer will lead a team in building and architecting secure digital banking platforms using Angular, Node.js, and AWS serverless technologies. The role involves integrating Generative AI and LLM capabilities into enterprise workflows while ensuring compliance with financial regulations.
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
Principal Machine Learning Engineer at Anaplan builds and deploys AI features for business planning, integrating LLMs, prompt engineering, and conversational interfaces into production systems using Python and MLOps practices.
The DevOps Engineer (AI/ML) will design, deploy, and maintain LLM-based agent applications and cloud infrastructure for healthcare pharmacy systems. The role focuses on building scalable AI platforms, optimizing agent workflows, and ensuring reliable deployments using Python and cloud-native technologies.
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