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Staff Data Analyst architecting data strategy for Coupang's Retail and Selection team, using SQL, Python/R, ETL pipelines, and LLMs/prompt engineering to optimize product catalog, pricing, and inventory decisions.
Design and industrialize enterprise AI solutions—cloud architectures, GenAI/RAG platforms, observability, and governance—across Azure/AWS/GCP, with hands-on technical leadership of multidisciplinary teams.
Develops and maintains full-stack Java applications using Spring Boot, Angular/React, and PostgreSQL for financial services clients in a hybrid work model.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and transformations using a code-first approach within a modern data stack. The role focuses on leveraging tools like Snowflake, dbt, and Dagster while integrating AI-assisted development workflows to support the company's data strategy.
Build and deploy AI agents that automate workflows across business units, train teams to own solutions, and ensure compliance—working hands-on with LLMs like Claude.
Чем тебе придется заниматься: Проектировать и развивать LLM-интерфейс к аналитическим данным. Разрабатывать backend-сервис и агентную логику end-to-end (API, оркестрация, интеграции с источниками данных). Строить…
The Senior Agentic Systems Engineer will design and build agentic AI systems to improve internal developer productivity, unify company data, and deliver predictive customer features. The role involves hands-on coding, architectural leadership, and mentorship using LLMs, RAG, and cloud-based infrastructure.
Per importante azienda cliente, realtà ICT specializzata nella progettazione e realizzazione di soluzioni software innovative per clienti enterprise, ricerchiamo: n°1 AI ENGINEER / DATA SCIENTIST – GENERATIVE AI &…
Leads AI agent development for Zeely’s marketing automation platform, shaping vision, workflows, and integrations to automate user tasks (e.g., ad campaigns) via AI-driven agents.
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Senior AI Engineer building production-grade LLM and agentic AI systems—MCP servers, tool calling, intent routing—integrating Anthropic/OpenAI APIs with Python and SQL in a remote, collaborative team.
Leads a team of 2–4 engineers to deliver end-to-end software solutions for Quanta’s energy/utility clients, blending hands-on coding with technical leadership and stakeholder collaboration.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
About the Role: The team: The OSTTRA Technology team is composed of Capital Markets Technology professionals who build, support, and protect the applications that operate our network. The technology landscape includes…
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Manages IT projects for a Singapore digital agency, coordinating teams to deliver web/mobile solutions on time and within budget while leveraging generative AI tools to streamline workflows.
Lead Software Engineer on the Corporate Technology-Digital Workflows team at JPMorgan Chase, building and maintaining secure, scalable data pipelines and architectures on AWS using Python, Spark, and Terraform.
We are seeking an AI-Augmented IAM Security Engineer to handle the hands-on implementation, configuration, automation and day-to-day operation of enterprise Identity and Access Management. This is a…
Senior Java/AI engineer at a digital consulting firm, responsible for full-lifecycle development of client applications using Java, Spring Boot, microservices on Azure, and LLM/AI technologies including RAG, AI agents, and vector databases.
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