Top Artificial Intelligence Jobs in Hamburg

Join a leading healthcare software provider to innovate in eHealth. Seeking AI enthusiasts with strong analytical skills and adaptability to help shape the future of healthcare.

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

The Account Executive will establish and scale the market presence in Austria, acquiring customers, managing success efforts and owning the full sales cycle.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

As a Senior Sales Engineer, you will advise healthcare organizations on interoperability, analytics, and AI solutions, supporting technical sales throughout the cycle.

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.

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 Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Participate in a 4-6 month program focusing on AI tools and automation through mentorship, training, real projects, and leadership development interaction with various teams to implement AI solutions.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

The Senior GTM Engineer at Xentral will develop AI-driven workflows, ensure efficient data flows, integrate marketing tools, and create feedback loops to enhance marketing processes.

The Senior Developer Relations Manager will drive AI technology adoption by engaging with ISVs and enterprise leaders, provide technical leadership in AI and computer vision, and lead thought leadership discussions for NVIDIA's AI ecosystems.

The AI Full-Stack Developer will create automation solutions using AI and LLM APIs, integrating these with internal systems while collaborating with technical teams.

Lead the design and deployment of AI and automation solutions, focusing on scalable applications, automation of workflows, and integration of LLMs in operational processes.

The AI Native Product Manager will lead Forest Operations solutions by translating customer needs and market insights into product requirements while collaborating with cross-functional teams to drive AI-first initiatives and improve timber supply chains.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Build production agentic capabilities on ClickStack to investigate incidents, write reusable skills, own the agent stack (context, tools, evals, tracing, cost), create MCP servers/SDKs/integrations, and improve latency, cost, and hallucination handling for AI workloads on a petabyte-scale observability platform.

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

Provide private equity expertise to evaluate and create high-quality financial and investment content for training AI systems. Review financial models, market analyses, deal documents, support due diligence, deal sourcing insights, and give structured feedback to improve analytical accuracy.

Review and assess equity research, models, and market analyses to improve AI training data. Provide valuation, earnings forecasting, and investment memo feedback using long/short equity frameworks. Contribute to analytical materials, market sizing, and research summaries to enhance financial reasoning in foundational models.