Top Artificial Intelligence Jobs in Germany

Build and ship production LLM-powered product features, integrate and debug AI workflows, design validation and fallback logic, implement evaluation and quality checks, and support self-hosted and commercial model deployments while improving reliability, latency, and user value.

Lead regulatory resilience for AI and operational resilience by implementing EU AI Act and DORA controls. Manage AI model classification, conformity assessments, third-party ICT risk, TLPT and BCP exercises, algorithmic audits, and act as primary regulator liaison to ensure compliance and operational anti-fragility.

Build and ship LLM-powered product features end-to-end: design workflows, integrate models into production, implement validation and evaluation loops, improve quality/latency/reliability, debug AI failures, and use AI development tools daily.

Build and ship production-ready AI product features: design LLM workflows, validation and fallback logic, integrate models into backend systems, improve reliability/latency/cost, build evaluation and quality checks, and debug AI feature failures across inputs, outputs, data and user flows.

Build and ship LLM-powered product features from idea to production. Design LLM workflows, structured outputs, validation and fallback logic. Improve quality, reliability, latency, and cost; integrate AI capabilities into backend systems; build evaluation loops and tests; debug failures across inputs, data, models, and user flows.

Support project management and business development by driving project delivery, communicating with clients, assisting strategic planning, and working with data science/ML teams. Contribute to client acquisition and help scale the startup under mentorship while gaining hands-on experience in AI-focused solutions.

Build and ship production LLM-based product features, improve AI workflows for quality, latency, and reliability, design validation and fallback logic, integrate models into backend systems, and maintain evaluation/testing loops while using AI development tools daily.

Lead market-shaping go-to-market and enterprise sales for Vicoland's AI-first SaaS platform. Own client portfolio from C-level advisory to delivery oversight, supervise Vico teams, integrate AI into solutions, and drive long-term account growth while contributing to company strategy and scaling.

Design and build backend systems powered by LLMs, develop AI agent workflows and tool integrations, implement RAG pipelines with vector search, handle prompt orchestration and context management, optimize performance and cost, and ship AI features to production.

Design and build AI-first, production-grade agentic solutions: integrate LLMs, RAG, embeddings, and agent workflows; own the full dev pipeline; lead architecture, code reviews, and mentor engineers; collaborate with product and UX to deliver scalable, maintainable AI features.

The PhD researcher will focus on AI-driven semantic structure extraction, automated reasoning modeling, and personalized content generation, supporting interdisciplinary research and teaching activities in AI and NLP.

Design, prototype, and deploy end-to-end AI-driven automations using existing LLMs, RAG, vector DBs and orchestration tools (e.g., n8n). Partner with cross-functional teams to prioritize high-ROI opportunities, build modular workflows, establish governance/guardrails, and monitor ROI and reliability. Collaborate with CEO & CTO to align solutions with core infrastructure and enable non-technical teams to use automations.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

The Applied AI Architect will advise enterprise clients on integrating AI solutions, develop scalable architectures, and support their adoption journey of Claude AI systems.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

Lead the product for the Italian market: engage installers through calls, visits and support; drive activation, adoption and retention; build local-compliant features and convert them into reusable platform capabilities; collaborate with engineering, design, marketing, sales and CS; review UX/UI and ship improvements.

Own the UK market as Growth Product Manager: work with installers through calls, site visits and support; improve activation, adoption and retention; ship UK-compliant, reusable product features; set UX/UI standards; collaborate with Product, Engineering, Design, Marketing, Sales and Customer Success.

Lead and coordinate technical AI/ML programs bridging research and lab implementation. Plan and deliver projects, manage compute/resources/dependencies, liaise with industry and academic partners, drive proposals and pilots, refine scalable processes, track metrics, and support IP, compliance, and publication efforts.

Lead technical discovery and deliver tailored live demos of LLM-powered solutions to enterprise prospects. Translate customer pain points into AI architectures, build credibility, and feed insights to Product, Marketing, and R&D while partnering with Sales to shape customers' AI vision.

Prototype, build and improve AI assistants, prompts and lightweight automations; create a scalable prompt/library of AI assistants; run pilots with AI ambassadors; embed safety, monitoring and compliance; collaborate with product team and document how-to guides to drive adoption.

Own and translate SAP consulting knowledge into AI agent workflows; design scalable architectures for SAP landscapes (S/4HANA, ECC); collaborate with enterprise clients during onboarding and rollouts; partner with AI and engineering teams to ensure technical accuracy; build reusable reference architectures and act as domain expert embedding SAP knowledge into the product.

Design and implement robust, scalable AI systems and behaviors for game agents using the studios custom engine. Collaborate with designers, animators, QA, and engineers, apply modern AI techniques, solve technical risks, and optimize multi-threaded, physics-aware AI interactions for realistic space-sim gameplay.

Design and implement scalable, robust AI systems for game agents using the studio's custom engine. Mentor junior engineers, collaborate with designers and artists, identify and mitigate technical risks, and optimise AI for performance and stability in a large shared codebase.

Lead design and delivery of AI-enabled SDLC platforms for embedded software: orchestrate multiple GenAI systems and agent frameworks (LangChain, AutoGen, CrewAI), integrate deeply with Atlassian tools (Jira, Confluence, Bitbucket) and CI/CD pipelines, ensure governance, scalability, and compliance with MISRA, ISO 26262, ISO/SAE 21434 and ASPICE.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.