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Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
The Senior AI Engineer will design and implement evaluation pipelines, observability frameworks, and quality metrics for AI-powered features within a board intelligence platform. The role involves hands-on development in Python or C#/.NET to ensure LLM-based systems are reliable, cost-effective, and performant in production.
Sobre a vaga A posição de Desenvolvedor(a) Backend Python & AI Engineering tem como objetivo atuar em projetos estratégicos de inovação e transformação tecnológica, contribuindo diretamente para o desenvolvimento e…
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
Design and maintain AI-ready data pipelines for production-scale AI, ML, and RAG systems, implementing vector store strategies (pgvector, Pinecone, OpenSearch) and data governance at NCS Group in Singapore.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Senior Data Engineer building AI-ready data pipelines, RAG/vector search infrastructure, and data governance solutions using Python, Airflow, Kafka, and vector databases like pgvector and Pinecone.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Mid-Level AI Application & Cloud Operations Engineer 1. Position We are seeking mid-Level AI application & Cloud operations engineer to support the operation, stability, performance, and security of enterprise…
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
The Senior Machine Learning Engineer will develop and deploy production-grade GenAI applications, including LLM-based solutions, RAG systems, and agentic workflows, to support various business lines at RBC. The role involves building scalable ML infrastructure and collaborating with cross-functional teams to deliver impactful AI solutions.
WEX is looking for a Senior AI Data & Database Engineer to help modernize critical SQL Server systems while building the data infrastructure that powers AI applications and agents. This is a hands-on engineering…
Thiết kế và xây dựng các sản phẩm/tính năng AI: trợ lý truy vấn, tổng hợp, thống kê, so sánh và phân tích dữ liệu thị trường, ngành, mã chứng khoán; xử lý và tóm tắt báo cáo, tài liệu; chatbot/trợ lý nghiệp vụ cho…
Beacon AI is seeking Cloud and ML Infrastructure Engineers to build and maintain scalable AWS infrastructure and LLM platforms for aviation systems. The role involves designing RAG pipelines, managing model inference, and ensuring secure, high-performance deployments using tools like AWS, Python, and LangChain.
Design, build, and maintain AI agents and RAG pipelines using LLMs (Claude, OpenAI, Bedrock), Python (Django/FastAPI), vector databases, and AWS for a remote data consultancy.
Build and own AI agent infrastructure and automation systems that integrate LLMs with internal tools and data platforms to streamline marketing operations at scale.
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