Вакансии: AI Engineering

Lead a multidisciplinary engineering team delivering scalable AI-powered consumer experiences and data-driven product capabilities for a financial technology platform.

Join a healthcare technology company building an AI platform that helps care teams interpret patient interactions, identify care gaps, and improve outreach. You will develop intelligent systems across data pipelines, LLM deployment, and production AI workflows.

An in-house AI team is hiring a hands-on AI Engineer to build smart agents, RAG solutions, and LLM-based systems used across business, operational, and digital functions in a large financial organization. The role combines deep technical development with organizational processes, regulation, and atמ

An external recruiting firm is seeking a Senior AI Engineer to build and operate AI-powered applications and intelligent agents for a leading financial organization. The role covers the full lifecycle of AI solutions, from problem definition and architecture through deployment, monitoring, and **g**

Lead technical customer deployments of an enterprise AI and semantic data platform. Design solution architectures, develop integrations, build semantic models, and connect AI workflows to production environments.

Lead the technical vision and architecture of an AI-native platform that uses autonomous agents to plan and execute complex enterprise cloud migrations.

Join an AI engineering team developing agentic platforms, retrieval-augmented generation systems, AI agents, and large language model solutions for products and internal workflows.

Build secure, production-ready infrastructure and products for AI agents. The role focuses on backend services, agent control planes, developer tooling, integrations, and observability for reliable AI systems.

Join an AI engineering team building agentic platforms, retrieval-augmented generation systems, large language model solutions, and AI agents. This role covers AI development, software engineering, data preparation, evaluation, and deployment for production-grade solutions.

Develop production-grade LLM agent systems that optimize GPU kernels, analyze performance data, support hardware architecture studies, and improve AI-driven software engineering workflows. The role partners closely with hardware architects, verification engineers, performance specialists, and other‌