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Salary: 80.000 - 100.000 € per year Requirements: Must-have: 3+ years Typescript Proven production-level experience with LLM integration In-depth understanding of retrieval-augmented generation & context…
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference/orchestration layers, data pipelines, and APIs/microservices—for GenAI, CV, and ML models in heavy industries, primarily using TypeScript/Node.js.
Builds and deploys end-to-end ML/GenAI solutions for financial services clients, including data pipelines, model training, GenAI workflows, and production monitoring in regulated environments.
Design, build, and iterate AI agents (voice/text) for clients in production, including prompt versioning, workflows, integrations, and QA. Develop LLM, API, database, and data pipeline integrations while monitoring and optimizing agent performance (conversion, conversation quality, latency).
AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA! Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid – Omaha, NE preferred)…
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
Nextar, azienda di consulenza IT con sedi a Milano, Roma, Torino e Napoli, cerca una figura esperta per progetti di sviluppo software e consulenza IT. La posizione richiede esperienza e competenze avanzate in Python,…
Leads promotional analytics projects for US retail clients, adapting Quantium’s AI-driven models using SQL/Python and managing a small team to deliver data-backed insights.
Builds and deploys AI/ML models for Telstra’s operational systems, translating data into actionable business insights. Focuses on feature engineering, model development, GenAI integration, and end-to-end solution design with cross-functional teams.
Design and deploy AI/ML solutions—including GenAI, RAG architectures, and agentic AI—for a European financial group, using Python, LLMs, vector databases, and cloud platforms.
Intern builds and tests AI components for healthcare informatics, using LLM APIs, orchestration frameworks, and data pipelines to improve treatment, payment, and operations.
Agentic AI Engineer building AI agent solutions using Python, FastAPI, vector databases, LLMs, RAG, and LangChain/LangGraph on GCP.
Build and maintain AI-powered analytics pipelines and semantic layers that turn enterprise data into trustworthy, actionable insights for business users across procurement, manufacturing, and sales.
Design and build the enterprise knowledge backbone (knowledge graphs, semantic models, vector spaces, RAG architectures) for Intersnack's AI programme while leading data governance, AI TRiSM, and security-by-design frameworks across cloud environments.
Senior Solutions Engineer owning technical strategy in enterprise deals across APAC for Qdrant's vector search engine—architecting vector search systems, building production-grade POCs, and acting as a technical account manager for strategic customers. Core technologies include vector search, RAG pipelines, LLMs, and distributed systems.
Leads AI system design and development for Fortune 500 clients, integrating LLMs, RAG, and agent architectures into enterprise backend systems in a Washington DC office.
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
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