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Design and lead secure, scalable GenAI solutions for Amgen, including LLM assistants, agents, and RAG systems, using enterprise AI platforms and cloud-native architectures.
Build and scale cloud-based government software using Angular/React on the frontend and Node.js/Java/Spring Boot on the backend, while integrating AI features like RAG and vector search.
Build and own the cloud infrastructure, AI retrieval layer, and MCP servers that power Visier’s internal AI agents and workforce-intelligence platform using Python, Terraform, AWS/Azure, and RAG pipelines.
Senior AI Engineer Department: Backend Employment Type: Full Time Location: Islamabad, Pakistan, Islamabad, Pak, Hybrid We're looking for a hands-on AI Engineer who combines strong backend engineering fundamentals…
Build and enhance financial post-trade platforms using Java, Spring Boot, React, and Kafka, solving complex problems in a fast-paced environment for a global financial services client.
Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their…
Senior engineer designs and deploys production-grade AI systems for clients, leading architecture, trade-offs, and delivery of LLM integrations and ML pipelines in Python on cloud-native stacks.
Lead a team of engineers delivering AI solutions for clients, setting technical direction, coaching developers, and ensuring high-quality outcomes across multiple engagements.
Senior engineer building core search relevance features in Elasticsearch, improving ranking, vector search, and relevance algorithms using Java and AI-driven development.
Senior engineer building core search relevance features in Elasticsearch, focusing on vector search, relevance tuning, and Lucene contributions using Java.
Senior Product Manager to lead search intelligence teams at a global ecommerce search platform, focusing on query understanding and product recall using ML, vector search, and hybrid models to drive conversion and revenue.
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Senior Python engineer builds cloud-native, search-heavy backend services on Azure, Elasticsearch, Kafka and Databricks for enterprise clients.
Build and deploy AI-powered tools that help traders and researchers access information, synthesize knowledge, and make data-driven decisions using LLM workflows, retrieval systems, and agentic architectures.
Build AI-powered tools for internal users to access information, synthesize knowledge, and support decision-making using Python, LLM workflows, and vector search.
Builds and deploys generative-AI applications for financial clients using Python, LLMs, and Google Cloud services in a hybrid consulting role.
Principal AI Data Architect at Motorola Solutions in Kraków designs and governs enterprise data infrastructure to make structured and unstructured data trustworthy and AI-ready, using standards, contracts, and Airflow-centric orchestration.
Build and optimize the backend infrastructure powering AI agents at Binance, including intent routing, tool orchestration, and evaluation systems for production-scale LLM applications.
Build and deploy scalable AI/ML systems, including LLM-powered RAG pipelines and agentic workflows, from experimentation to production while optimizing for performance and cost.
Build and deploy AI systems that analyze millions of security events per second to detect and prioritize threats using retrieval, ranking, and anomaly detection at enterprise scale.
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