Senior Applied AI Engineer (f/m/d)

Sonarsource · Bochumsenior

En corto

▸Ingeniero de IA aplicada que construye agentes autónomos para automatizar procesos internos.
▸Diseña y despliega pipelines de IA (RAG, orquestación de agentes) en la nube con enfoque en escalabilidad y seguridad.
▸Destacado por transformar operaciones empresariales usando IA en una empresa líder en verificación de código con agentes.

Fluent English required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓10+ años de experiencia en desarrollo full-stack (Python, Node.js, React)
✓Experiencia comprobada en desarrollo y despliegue de agentes de IA (LangChain, AutoGen, CrewAI)
✓Antecedentes sólidos en automatización tradicional (scripts, motores de flujo, RPA)
✓Experiencia práctica con infraestructura en la nube (AWS preferido)
✓Capacidad para liderar y mentorizar a ingenieros juniors
✓Conocimiento en governance, seguridad y privacidad de datos en IA

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonNode.jsReactLangChainAutoGenCrewAIAWSvector databasesRAGLLM prompt engineering

¿A quién escribirle en Sonarsource?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description SonarSource is looking for a passionate AI Engineer who will be a driving force in our internal operations. You will play a central role in Sonar's AI transformation, applying your expertise to solve internal business operation problems, automate complex processes, and amplify productivity across departments using cutting-edge AI agents and full-stack tools. Your work will directly enhance our operational efficiency and strategic agility. What you will do Design & Develop: Architect and implement end-to-end AI Agents and full-stack applications that automate complex business processes. Foundational Engineering: Build and maintain the core AI tech stack, including agent orchestration frameworks, vector database integrations, and RAG (Retrieval-Augmented Generation) pipelines. Cloud Orchestration: Oversee the deployment and management of scalable AI services, selecting and adapting infrastructure to meet stringent requirements for high availability, performance, and efficiency. Strategic Transformation: Act as a key contributor to Sonar’s AI transformation, identifying high-impact opportunities for agentic automation across different departments. Governance & Ethics: Collaborate with cross-functional teams to establish governance, security protocols, and best practices for AI development and data privacy. Full-Stack Ownership: Manage the entire lifecycle of internal tools, from backend logic and LLM prompt engineering to intuitive frontend interfaces for internal users. Mentorship: Guide junior engineers and contribute to a culture of technical excellence in AI and automation. js , React, or similar modern stacks). AI Agent Mastery: Proven experience developing and deploying autonomous AI Agents using frameworks such as LangChain, AutoGen, CrewAI, or similar. , scripting, workflow engines, or RPA) prior to the LLM era, demonstrating a deep understanding of logic-based systems.

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