Top Artificial Intelligence Jobs in Berlin

Build full-stack, user-facing AI applications for public procurement: design, implement, and deploy features using the company tech stack, integrate LLMs, own features end-to-end, improve reliability, and collaborate closely with founders and users.

Lead a team of playable developers, champion AI-assisted development, prototype and productionise automation and asset tooling, define scalable frameworks and engineering standards, remain hands-on building HTML5 playables, and partner with stakeholders to deliver playable ads across studios.

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.

The VP of Customer Success will scale the CS org, drive product adoption, manage customer health, and ensure retention through effective usage across care facilities.

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.

As a Senior Workforce Management Analyst, you will optimize workforce performance through planning, forecasting, analytics, and collaboration across the global Care ecosystem.

Identify and implement high-impact AI and automation use cases across the business; analyse and optimise processes; prototype, test and deploy AI-driven solutions; drive adoption, upskill teams, and work cross-functionally with Marketing, Product, CX and Tech to measure impact.

Lead discovery and delivery of AI features: design RAG and LLM solutions, build production APIs and data pipelines, manage model lifecycle (CI/CD, monitoring, retraining), run rigorous experiments, and document systems while collaborating with product, engineering, and compliance experts.

Develop and maintain end-to-end AI-powered financial applications: backend services/APIs, React UIs, real-time systems, and data pipelines. Integrate LLMs and agent architectures, build embedding/vector search and retrieval systems, operationalize AI features, and ensure reliability, observability, and scalability in production.

As a Tech Lead in the AI Lab, you'll lead a team of engineers, set technical direction, and code 70% of the time while mentoring junior staff.

The GTM AI Engineer will automate workflows, manage HubSpot systems, implement lead scoring models, and enhance data processes to boost revenue and efficiency.

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.

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.

As a Senior React Engineer, you'll develop AI products using React and Python, create high-performance frontends, integrate AI services, and ensure system reliability from MVP to production, while having creative freedom.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

Own and evolve cloud infrastructure on AWS using Terraform; manage and scale Kubernetes clusters; build and improve CI/CD pipelines; implement monitoring, logging and alerting; configure CDN infrastructure; and support ML workloads in production to improve developer experience and observability.

As Engineering Manager, lead the Edge AI team, formulate sprint roadmaps, oversee AI system migration, ensure performance, and foster an engineering culture. Hire and mentor team members while managing stakeholder engagement.