Вакансии: AI Engineering

Own the end-to-end delivery and continuous improvement of production AI systems, from problem definition and architecture through implementation, evaluation, deployment, monitoring, and support. Work with engineering, product, business, and architecture stakeholders on high-impact solutions.

Join an applied AI team building production systems that transform large volumes of unstructured data into structured signals. You will own work across data pipelines, retrieval infrastructure, model evaluation, and reliable AI serving.

Join an engineering team building AI agents and reliable platforms that solve real networking architecture problems and accelerate AI adoption across the organization.

Build AI agents and reliable platforms that solve engineering problems across networking architecture. The role covers agent development, cloud services, evaluation systems, and responsible adoption of agentic workflows.

Build Marko, a production-grade agentic marketing platform that autonomously manages campaigns, generates creative, allocates budgets, and optimizes performance across major advertising channels.

Join a technology company building practical AI solutions for organizations across multiple industries. Develop backend systems and AI-powered applications while working with LLMs, AI agents, APIs, and emerging AI tools.

Build and operate production systems that transform customer data into advertising conversions. This generalist role spans machine learning and data pipelines, event-driven cloud services, and customer-facing interfaces, with substantial ownership from design through production.

Join a mobility software company's Data Science team to develop production-grade AI agents and intelligent automation for fleet operators and transportation providers.

Work directly with business leaders to identify high-value opportunities, redesign processes, and deliver production-grade AI and automation solutions. Combine hands-on engineering with consulting, stakeholder partnership, and organizational change to drive enterprise adoption.

Join an engineering team building AI-powered developer tools. Develop production C++ components and integrations that connect native tools with retrieval, agentic, and AI service capabilities.