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Builds and maintains scalable AI/ML infrastructure for content recommendation systems using Vertex AI, KServe, Kafka, Elasticsearch, and vector databases to enhance search, retrieval, and personalization.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
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.
Senior Golang engineer designing scalable backend microservices and integrating AI/LLM capabilities into POS and SaaS platforms.
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 Data Scientist will transform operational data into actionable insights by developing dashboards and implementing GenAI solutions like RAG and structured extraction. The role involves end-to-end delivery, stakeholder management, and mentoring team members on data modeling and analytics standards.
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…
MLOps + DevOps Engineer responsible for operating an AI-native platform with agentic systems, ML workloads, and backend services on AWS. Core technologies include AWS (EKS, Lambda, Bedrock, SageMaker), Kubernetes, Kafka, Terraform, and observability stacks like Grafana, Prometheus, and OpenTelemetry.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Build and scale backend services in Java/Spring Boot while integrating AI tools to enhance engineering workflows and product capabilities for a fast-growing SaaS workforce management platform.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Проектировать и развивать AI Gateway: единый доступ к внешним и внутренним LLM, маршрутизация запросов, лимиты, фоллбэки, контроль стоимости, аутентификация и ролевая модель доступа Развивать платформу LLM-инференса:…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Staff Data Engineer building an end-to-end data platform from scratch, designing near real-time streaming pipelines, vector database infrastructure, and AI-ready data systems using Kafka, dbt, cloud warehouses, and Python.
Agentic AI Engineer building AI agent solutions using Python, FastAPI, vector databases, LLMs, RAG, and LangChain/LangGraph on GCP.
Senior AI Engineer designing, building, and optimizing AI agents, RAG pipelines, and fine-tuning LLMs using Python, PyTorch/Hugging Face, and vector databases.
Build and maintain backend features for search and merchandising products using Go microservices, Elasticsearch, and cloud infrastructure on AWS.
Assess and document security controls for AI/LLM systems in AWS cloud environments, authoring RMF artifacts and bridging gaps between offensive security and DevSecOps pipelines.
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
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