Top Artificial Intelligence Jobs in Berlin

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, transaction monitoring, privacy, limits, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a fintech product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI responsibly with evaluation, safeguards, human oversight, and failure handling while aligning engineering, compliance, operations, finance, and other stakeholders.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and ship AI-powered automations for Sales, Marketing, Legal Ops, and other departments. Discover and prioritize manual workflow use cases, develop production-ready solutions with AI and low-code tools, document handoffs, measure business impact, track emerging technologies, and apply internal data and AI governance standards. The role offers ownership in shaping a new company-wide AI adoption function.

Build and deploy AI-powered automations across Sales, Marketing, Business Development, Legal Operations, and other departments. Discover and prioritize use cases, create production-ready workflows using AI and low-code tools, document handoffs, measure business impact, track emerging AI capabilities, and apply data and AI governance standards.

Design and build an internal AI platform, evaluate and integrate large language models, develop APIs, and establish engineering standards.

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

As a Product Specialist, you will serve as the primary contact for B2B customers, resolving technical issues, enhancing customer experience, and collaborating on product improvements.

Manage customer success and revenue growth, onboard customers, partner with cross-functional teams, and lead strategic projects to enhance customer relationships and drive innovation.

The Founders Associate Marketing role involves copywriting, performance marketing, and market research to drive growth for a green tech startup.

As a Product Specialist, you will engage with B2B customers to solve technical issues, enhance customer experience, and collaborate with the engineering team. You'll implement projects for growth in the renewable energy sector, requiring strong communication skills in German and English.

The Digital Marketing Specialist will create engaging content, support performance marketing, conduct market research, and analyze marketing data.

The Account Executive will enhance lead quality, build client relationships, conduct demos, close deals, and monitor market trends in renewable energy.

Reonic invites unsolicited applications from passionate individuals interested in renewable technology to contribute skills and ideas.

As a Voice AI engineer, you will build reliable systems, solve unique Voice AI challenges, and evaluate models for customer impact, taking ownership of projects.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

As an AI Research Engineer, you will develop signal processing solutions, collaborate across teams, and apply AI in real-world scenarios within defence.

Own budgeting, forecasting, financial planning, reporting, accounting preparation, reconciliations, payments, and month-end processes. Build scalable finance systems by connecting data, automating workflows, and applying AI. Partner with teams on financial insights and support international growth involving multiple entities, GAAPs, statutory requirements, and external accounting partners.

Deploy and integrate ICEYE's intelligence platform into secure, often air-gapped environments; build containerized deployments, RAG and LLM-based AI workflows, data-fusion pipelines combining SAR and other intel, and lightweight analyst tools. Work embedded with customers to prototype, train, and iterate solutions while troubleshooting disconnected deployments.