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This role is for an AI Application Developer to build and deploy Agentic and Generative AI solutions within the banking sector. The developer will work with LLMs, orchestration frameworks like LangChain, and cloud-native technologies to create intelligent, context-aware applications.
The AI Product Manager will lead the strategy, development, and scaling of enterprise AI solutions within Mattel's Office of AI. This role involves collaborating across business functions to implement AI-powered workflows while ensuring compliance with responsible AI governance and security standards.
Develops data-driven solutions using machine learning and generative AI to analyze and structure complex datasets for Udlændingestyrelsen’s extremism countermeasures, integrating with existing systems and ensuring compliance with legal frameworks.
Join an innovative organization that is investing heavily in Artificial Intelligence, Generative AI, and advanced machine learning capabilities to transform how the business operates and delivers value. We are seeking…
Senior backend engineer builds scalable AI-powered services for travel and expense management, integrating LLMs, RAG, and conversational interfaces into consumer products.
Designs and scales high-performance backend services in Go for Zscaler's converged security platform, integrating databases and cloud infrastructure while mentoring engineers.
Build and scale secure AWS infrastructure (EKS, Lambda, CI/CD) to run production AI/ML workloads, own observability, and drive platform reliability for Zscaler’s AI-forward security products.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Poszukujemy doświadczonego AI Engineer'a , który dołączy do projektu z obszaru manufacturing i digitalizacji procesów inżynieryjno-produkcyjnych . W tej roli będziesz rozwijać rozwiązania umożliwiające…
Lead the design and development of Skydio’s GTM platform, building AI-powered sales, forecasting, and automation tools using Python, SQL, TypeScript, and cloud-native architectures.
Build and operate Kaseya’s scalable data platform, designing real-time pipelines and event-driven systems to power analytics, AI, and automation across millions of endpoints.
Builds AI-powered automation and enterprise solutions using LLMs, RAG, and agentic frameworks to solve B2B marketing workflows for Fortune 500 clients.
Build and maintain secure Java/Spring Boot backend services and APIs, and integrate agentic AI workflows (LLM agents, RAG, tool-use) for UK government digital services.
Design RAG pipelines and optimize vector databases as a Data Scientist at iTalenters, deploying models in Azure cloud environments while collaborating with teams in Barcelona and Switzerland.
Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it…
Build and scale enterprise AI applications end-to-end, integrating LLMs and RAG systems with full-stack Python/React and production ML infrastructure.
About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads…
Design, build, and deploy production-ready AI agents and agentic workflows on AWS using LangGraph/CrewAI, RAG pipelines, and Model Context Protocol as part of nearshore software development PODs.
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
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