Top Artificial Intelligence Jobs in Hamburg

Own product and go-to-market strategy for GPU and AI services: define roadmap, pricing, packaging, and target segments; convert customer research into engineering backlogs; act as technical lead for enterprise accounts; monitor competitors and work with sales and channel partners to scale commercial adoption.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

Looking for a Senior AI Research Scientist to finetune LLMs, create conversational workflows, and innovate methods for faster inference.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead go-to-market planning for JetBrains AI Ecosystem launches, create clear messaging and launch assets, coordinate stakeholders, scale campaigns, gather market and customer insights, and track campaign performance to improve processes.

Develop and maintain backend services for AI-driven digital pathology, collaborating with cross-functional teams on technical solutions and automation tools.

The role involves translating business requirements into automation and AI solutions, improving R&D processes, and operating collaboration tools.

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

Design, implement, and run automated benchmarking and validation pipelines for AI-driven genomic interpretation. Expand regression datasets, execute large-scale validation across curated VCFs, surface accuracy regressions, build automated QA for AI releases, and integrate validation into CI/CD with dashboards and documented failure modes.

Lead evaluation and benchmarking of AI-driven genomic interpretation: own gene/disease/variant mapping logic, define accuracy and release criteria, establish regression standards, partner on automated validation, and guide where deterministic logic supplements models.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Build and maintain enterprise web applications using .NET and Angular, participate in full SDLC, integrate AI services and APIs, leverage AI-powered development tools and LLM/RAG solutions, contribute to architecture and technical decisions, collaborate with clients and delivery teams, and ensure compliance with enterprise/regulatory standards.

Lead end-to-end production of 9:16 short drama series (1-2 series, 10-15 episodes each). Create scripts, direct, edit, and finish episodes using the companys AI tools. Collaborate with AI copilot, content creators, tech and exec teams while iterating quickly and maintaining character consistency and high performance.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

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

The role involves evaluating and reviewing AI-generated outputs, ensuring cultural relevance and accuracy, and providing annotations for model improvement.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.