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Design and deploy enterprise-scale Generative AI systems using LLMs, RAG architectures, and Python-based backend services, ensuring security and scalability in production environments.
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Build AI-powered marketing automations and agents using LLMs, RAG pipelines, and vector databases to streamline workflows and drive growth for a global commerce platform.
Builds and deploys generative-AI applications for financial clients using Python, LLMs, and Google Cloud services in a hybrid consulting role.
Senior Data Scientist builds and improves knowledge graph systems using NLP, LLMs, and ML to tag entities, enrich taxonomies, and map multilingual data for Grab’s transaction platform in Singapore.
Middle Python developer building high-load microservices and AI agents for a bank’s conversational financial assistant using FastAPI, LLM integrations, and distributed systems.
Designs, builds, and deploys enterprise-scale AI and generative AI systems for financial services clients, focusing on LLMs, RAG, and MLOps on cloud platforms.
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.
Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Principal AI Engineer About the Role We’re hiring a Principal AI Engineer to lead how we design, build, and productize generative and agentic AI, both inside our SaaS platform and across our products. This is a…
Build and own an AI-driven marketing platform: architect integrations, orchestration pipelines, and UIs that automate end-to-end marketing workflows for CrowdStrike’s teams.
Build and deploy GenAI applications using Python, LLM frameworks, and vector databases, then optimize and integrate them into cloud-based microservices.
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.
Lead the design, build, and configuration of AI-driven applications using Microsoft Azure OpenAI Service and related Azure AI tools, while managing project timelines and cross-functional teams.
Build and deploy AI models for creative asset generation and analysis using LLMs, multi-modal AI, and RAG systems in a media/advertising agency.
Lead the design and implementation of Microsoft Fabric-based data pipelines and governance for Lilly’s Integrated Risk Management program, integrating risk platforms like ServiceNow GRC and SAP to deliver real-time, AI-ready risk datasets for analytics and decision-making.
Designs and maintains the data infrastructure for Lilly’s risk management program using Microsoft Fabric, integrating systems like ServiceNow GRC and SAP to deliver accurate, real-time risk intelligence for enterprise decision-making.
Lead a team to design and deploy analytics, optimization, and AI models that power decision-making across operations, using Python, SQL, Tableau, and cloud services like AWS.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
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