Senior Applied AI Engineer (f/m/d)

Sonarsource · Bochumsenior

In short

▸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.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓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

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonNode.jsReactLangChainAutoGenCrewAIAWSvector databasesRAGLLM prompt engineering

Who should you write to at Sonarsource?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.