Вакансии: AI Engineering

Lead hands-on engineering for complex business transformation challenges, building AI-powered systems from problem discovery and architecture through production and measurable business impact. Help develop engineers and establish reusable technical practices.

Implement and evaluate AI model components, with a focus on efficient models and inference. Run reproducible experiments, measure system performance, and work with research and engineering teams to validate designs.

Develop and deploy AI agents that automate document processing and other content-heavy enterprise workflows. Work with product, engineering, and business teams to identify valuable automation opportunities and deliver reliable production systems.

Join a transformation team building production AI solutions for complex enterprise challenges. Partner with organizations to understand their operations, redesign processes for an AI-native world, and deliver measurable outcomes.

Build production agent workflows around hardware network simulation tools. Shape the context agents use, improve runtime performance, and develop evaluation, observability, and reliability practices in partnership with network architects.

Lead and mentor an AI engineering team while remaining 50% hands-on, building production agent workflows for an enterprise workforce platform. Work closely with product, data, and design teams in a fast-paced startup environment.

Build and scale the core AI platform, agent infrastructure, and developer tooling used by engineering teams to deliver production AI applications.

Develop and optimize signal-processing and AI algorithms, investigate emerging model architectures, and evaluate their performance on hardware and real-time systems.

Build and own software for an AI-powered platform that autonomously plans and executes enterprise infrastructure migrations to the cloud.

Lead and mentor an AI engineering team while remaining hands-on in developing an enterprise agentic AI platform. Own agent workflows from design and evaluation through production deployment and iteration.