Top Artificial Intelligence Jobs in Munich

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Lead the product lifecycle for B2B agentic AI solutions (chat/voice bots, virtual sales assistants). Define roadmap, integrate with Salesforce CRM, collaborate across sales, marketing, data science, and engineering, own KPIs and backlog, analyze product performance, and drive AI adoption and innovation in corporate sales.

The role involves adapting scripts for dubbing, reviewing translations, evaluating voice performance, and efficiently managing multiple productions based on client demand.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

Design and implement scalable GenAI and ML solutions for clients and internal use. Build multimodal agents, automate workflows, create deployment tooling and infrastructure on cloud platforms, write clean maintainable code, document processes, and present findings to stakeholders.

Work as an intern developing and evaluating LLM/ML approaches for formal verification workflows: analyze data, prototype solutions with R&D, integrate tools, and produce technical documentation and presentations.

Develop curriculum for AI implementation course, maintain program relevance, and create educational materials. Inspire students in AI practices.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

Evaluate personalized AI responses by designing multi-turn prompts using your own personal context, assessing grounding, integration, and helpfulness, stack-ranking side-by-side model outputs, writing clear rationales, verifying debug info, and maintaining data hygiene. Work full-time as a remote contractor with schedule overlap requirements.

Evaluate personalized AI responses for Gemini by designing multi-turn prompts using personal data, comparing side-by-side responses, assessing grounding, integration, and helpfulness, writing structured rationales, extracting debug info, and maintaining data hygiene.

The role involves integrating AI tools into .NET and C++ applications, optimizing models for performance, and collaborating with engineers on deployment and monitoring.

The Director Analyst evaluates AI networking technologies, predicts market trends, communicates insights to clients, and collaborates to enhance account success.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The QA Engineer will perform functional and regression testing, design test cases, reproduce bugs, and communicate with teams, while focusing on AI Assistant features development.

Manage the AI orchestration platform, integrating AI capabilities into enterprise applications, ensuring compliance, governance, and technical excellence while leading cross-functional technical initiatives.

Design rigorous, deterministic advanced mathematics problems and provide complete verified solutions to train and evaluate state-of-the-art AI models. Produce reproducible, well-documented reasoning and, when needed, computational workflows using Python and scientific libraries. Ensure problems target deep mathematical reasoning and are technically precise.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Lead AI product strategy and execution, manage data migration initiatives, oversee Agile processes, and collaborate with stakeholders to drive product success.

Design rigorous, deterministic advanced physics problems and provide complete verified solutions for AI training and evaluation. Create reproducible simulations or computational workflows (using Python and scientific libraries), document reasoning clearly, and ensure technical precision. Contribute to problem design that tests deep multi-step physical reasoning.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.