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As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage…
Lead the design of enterprise agentic AI architectures for supply chain decision-making at AWS, collaborating with C-suite stakeholders, creating reference architectures, and shaping the AWS product roadmap for the Korea/APJ market.
Principal Engineer on Improvado's Platform Team, architecting and evolving Python-based data pipeline infrastructure (500+ integrations) while defining how agentic coding and AI-assisted development are adopted at scale across the engineering org.
Remote Automation & AI Engineer (contract-to-hire) driving ITSM transformation — designing intelligent automation, AI-driven workflows, and enterprise integrations using ServiceNow/Power Platform, REST APIs, Python, and JavaScript on EST hours.
Senior Solutions Architect advising academia/research on AI/ML workloads, integrating NVIDIA’s accelerated computing tools into LLM projects, and mentoring researchers to maximize impact via publications and technical adoption.
Build and productionize AI agents and self-service analytics tools for Thomson Reuters' Tax, Audit & Accounting portfolio, working with LLM APIs, RAG pipelines, and vector databases in Python and SQL.
AI Engineer building and maintaining AI applications using Microsoft's low-code stack (Copilot Studio, Power Automate, Azure AI services) to support institutional services at a university.
Intern on Razer’s AVA Voice AI team, evaluating and improving voice interaction quality, latency, and reliability using AI/ML techniques and experimentation workflows.
An AI intern evaluates and benchmarks vision/agentic AI models for gaming quality assurance, builds evaluation tools, and researches emerging AI tech to improve product features.
Senior AI Engineer building production AI agents and MCP integrations to automate logistics workflows (dispatch, billing, compliance, fleet ops) using Python, LLMs, RAG/KAG/CAG, Kubernetes, and SQL.
Leads AI/ML engineering practices in fintech to improve code quality, speed, and operational resilience by adopting AI-assisted tools and setting validation standards for secure, compliant workflows.
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).
AI Engineer building LLM-powered tools (GPT, Claude, Gemini) for financial analysts—using RAG, Agents, and Prompt Engineering with Python and SQL, integrating APIs like Bloomberg, FiinPro, and BigQuery.
Design and implement scalable, low-latency ML systems and services on Azure Cloud using Python, collaborating across engineering, data science, and product teams to operationalize LLMs, NLP, speech, and forecasting models.
The Staff AI Engineer will design and deploy scalable AI systems for an enterprise analysis platform, focusing on LLM optimization, model training, and infrastructure. The role involves collaborating with cross-functional teams to integrate AI into banking products using technologies like AWS, PyTorch, and vector databases.
The Lead AI Engineer will design and deploy scalable GenAI platform services, including agentic AI, guardrails, and model evaluation, to enhance banking products. The role involves optimizing LLM performance and infrastructure using technologies like PyTorch, AWS, and vector databases.
Staff AI Engineer at Capital One designing, developing, and deploying AI infrastructure including foundation model training, LLM inference, guardrails, and evaluation systems using Python, AWS, PyTorch, and related ML technologies.
Build AI-powered enterprise applications using Java, Spring Boot, and microservices, integrating Claude, OpenAI, LLMs, RAG, and Agentic AI at a client site in Sydney.
Develops production-ready AI modules (LLMs, speech, RAG) for a SaaS route-planning product used in home care, waste management, and retail fleets, using Python, ML frameworks like TensorFlow/PyTorch, and MLOps practices.
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…
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