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Designs and builds AI-driven platform services on AWS, translating research into production-grade solutions for governance, risk, and compliance (GRC) data. Focuses on serverless, scalable, and observable systems while collaborating with AI researchers and product teams.
Build and deploy ML models for search relevance and recommender systems to help users discover second-hand fashion items in Vinted’s massive peer-to-peer catalog.
Builds and deploys production-grade AI applications (LLMs, RAG) for fintech, focusing on backend integration, model optimization, and enterprise-grade solutions.
The AI Engineer will develop LLM-powered agents and RAG pipelines to automate workflows and build conversational interfaces for PureFacts' financial SaaS platform. The role focuses on integrating AI models, ensuring system reliability, and collaborating with cross-functional teams to deliver production-ready AI copilots.
Build secure, scalable AWS serverless services that power AI/LLM-driven capabilities across Diligent's GRC SaaS platform, using TypeScript/Python with an AI-augmented engineering culture.
The Solutions Architect designs and delivers technical foundations for AI-enabled products within the Kroger Precision Marketing portfolio. This role involves defining architecture patterns, building prototypes, and collaborating with cross-functional teams to scale data and API solutions.
Build end-to-end features across frontend, backend, and AI/LLM components for internal tools, automation, and data-driven products at the world’s largest crypto exchange.
Join our Team About the Role Ericsson is looking for a passionate Data Scientist to build next-generation AI solutions for Telecom OSS/BSS. You will design and deliver production-grade AI Agents, Enterprise…
Обязанности: Участие в операционной деятельности команды: дейли-митинги, спринт-планирования, ретроспективы, проведение демо для заказчика; Контроль соблюдения сроков и качества результатов по всем активным проектам;…
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
AI Full Stack Engineer at Deutsche Bank designing and building AI-powered applications using Python, FastAPI/Flask, Google VertexAI, and React JS, with focus on LLMs and semantic search for enterprise documents.
Designs, builds, and scales enterprise-grade data pipelines and platforms for a bank, focusing on batch/streaming architectures, AI knowledge bases, and cloud-native infrastructure to support risk management, fraud detection, and intelligent automation.
Build and maintain data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
An Engineering Manager leads AI/ML teams at a fintech platform (PitchBook) to plan, execute, and manage projects, ensuring resource allocation, risk mitigation, and team growth. Focuses on generative AI, predictive modeling, and data systems for financial insights.
Build and maintain scalable test infrastructure for Amazon's LEO satellite network, using AWS and AI/ML to analyze satellite telemetry and detect anomalies in real-time.
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
Designs and builds enterprise-grade agentic AI systems using Java microservices, cloud-native architecture, and frameworks like LangChain/Autogen to create autonomous agents, RAG pipelines, and LLM-based solutions for clients in advisory services.
Lead a data science team to build predictive models and insights for media brands, focusing on customer lifetime value, engagement, and personalization across apps and newsletters using Python, SQL, and ML.
Lead the design and development of ServiceNow solutions enhanced with AI agents, Graph RAG, and LangChain to automate workflows and improve user experiences using Python and JavaScript.
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
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