JetBrainsEngineering

AI Technical Lead - C++ Ecosystem

Multiple locations including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, Yerevan, and Remote (Germany).Posted yesterday

JetBrains is exploring AI-native development experiences for C++ developers, focusing on building AI-powered workflows, integrating coding agents into developer tools, and transforming CLion into a first-class AI-assisted development environment.

Location: Multiple locations including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, Yerevan, and Remote (Germany).

Responsibilities

Shape and deliver AI-powered features for CLion and C++ development workflows.
Design the architecture for AI integrations, agent tools, and C++-specific AI capabilities.
Build practical benchmarks and evaluation frameworks for AI-assisted C++ development scenarios.
Prototype and validate new AI workflows, including debugging, code understanding, refactoring, and project navigation.
Collaborate with product managers, ML engineers, QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
Work closely with JetBrains AI, ML, and product teams to help define the AI strategy for the C++ ecosystem.
Evaluate and prioritize AI initiatives, bringing new ideas and proposals that align with the broader JetBrains AI strategy.
Contribute hands-on to technical design, software architecture, and implementation in a large, mature codebase.
Help define a technical roadmap for AI agent and tool integrations in C++ development workflows.
Build trust and alignment across the C++ Ecosystem, AI, Product, QA, and ML organizations.

Requirements

Significant software engineering experience as a Staff Engineer, Principal Engineer, Technical Lead, or similar senior technical role.
Strong experience with Kotlin, Java, or other JVM technologies, or the ability to quickly become productive in a JVM-based codebase.
Experience building AI-powered products, developer tools, coding assistants, agents, or LLM-based workflows.
Strong understanding of how modern coding agents operate, including tool calling, context management, MCP, and evaluation techniques.
A track record of driving technical direction in ambiguous and rapidly evolving areas.
Strong product instincts and an ability to balance innovation with practical delivery.
Excellent communication skills and the ability to influence without formal authority.