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Senior AI Engineer builds and deploys production-grade LLM, RAG and agent systems, sets engineering standards, and drives AI operationalisation across a large Australian organisation.
Build and optimize agentic AI systems using RAG and LangGraph for enterprise clients, integrating LLMs into scalable workflows.
Senior AI Engineer builds enterprise AI solutions like chatbots and copilots, integrates LLMs via APIs, and advises on secure AI adoption across a large organization.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Associate DevOps Engineer in Pune maintains and automates cloud infrastructure for a SaaS observability platform, using Python, Kubernetes, IaC, and AI-driven automation.
The Company Serving the People Who Serve the People Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its…
Build AI-powered tools and dashboards for a real-estate developer, integrating LLMs with Microsoft Fabric, Power BI, and company data to automate analysis and reporting.
Build and deploy production-grade LLM systems, fine-tuning models and orchestrating agentic workflows to solve real-world challenges in energy and infrastructure.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами на стыке прикладных исследований, инженерии и бизнес-внедрения. Мы работаем с задачами, в которых недостаточно применить готовую…
Designs and advises on agentic AI solutions using Amazon WorkSpaces, guiding customers through adoption and technical implementation.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead a team deploying GenAI solutions on ServiceNow for government clients, setting technical direction, removing blockers, and mentoring engineers while traveling 50% to client sites.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
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