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Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
AI/NLP Engineer at BoomerangFX will design and deploy NLP pipelines, build RAG systems, fine-tune LLMs, and develop HIPAA/PIPEDA-compliant AI features integrated into .NET8/ReactJS platform on Azure for healthcare practice management.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
What's the opportunity? We’re looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. In this role, you will build and scale…
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Senior AI Engineer building end-to-end AI solutions (data prep to production) on GCP for a retail/consumer goods company in Barcelona, using Python, SQL, BigQuery, Vertex AI, LLMs, and RAG architectures applied to CRM, loyalty, ecommerce, and marketing.
Descripción del puesto / FuncionesEstamos buscando un/a Full Stack Web Developer con fuerte orientación backend para unirse al equipo de productos de IA que desarrolla una plataforma Multi-cloud de GenAI (Azure, AWS,…
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
Hands-on AI Architect leading solution architecture for client generative and agentic AI builds at a consulting firm in Singapore, designing reference architectures, setting security/governance standards, and owning model/vendor strategy across regulated sectors.
Senior Applied AI Engineer building LLM and retrieval systems for an AI Moderator platform that conducts expert interviews and generates structured insights. Work involves LLM orchestration, API development, and vector database optimization for enterprise and investment clients.
Own the AI Quality Platform roadmap: build LLM evaluation frameworks, observability tools, and benchmarks to measure and improve AI model performance and reliability for enterprise applications.
Principal AI Software Engineer at Snowflake working on AI-native solutions for enterprise data. Focuses on defining technical strategy for AI initiatives, building multi-agent systems, and ensuring reliability of LLM-based applications at scale.
Develops and evaluates autonomous AI agents, focusing on RAG systems, performance metrics, and safety protocols to mitigate hallucinations and improve agent capabilities.
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Designs and secures AWS-based microservices, hybrid/multi-cloud infrastructure, and AI agent solutions for Hyatt’s enterprise platforms, focusing on scalability, Zero Trust, and Snowflake integrations.
Develops production-grade LLM services on Azure, turning models into secure, scalable APIs while optimizing cost, reliability, and performance through observability and integration with data/product teams.
Lead a team building secure, scalable enterprise apps in Java/Spring Boot and Python, integrating AI/ML features and RESTful APIs for JPMorgan Chase’s fintech systems.
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
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