Top Artificial Intelligence Jobs in Berlin

Join Welo Data’s Russian-language AI contributor network for flexible, remote projects involving text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Contributors are contacted when suitable projects become available and receive project-specific details about tasks, timelines, and compensation.

Join Welo Data’s Basque contributor network for potential remote AI projects involving data annotation, search and chatbot evaluation, prompt creation, and linguistic or cultural quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. This is a talent-network opportunity rather than an active job opening.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.

Architect storage and infrastructure solutions for AI/ML, HPC, analytics, and high-performance workloads. Engage customers, translate requirements into scalable architectures, create BOMs and proposals, conduct demos, proofs of concept, and benchmarks, and advise throughout technical sales cycles. Collaborate with Product and Engineering, monitor AI infrastructure trends, mentor colleagues, and contribute to product direction and technical thought leadership. Fluent German is required.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Research and develop GPU-accelerated techniques for AI, deep learning, machine learning, and HPC workloads. Analyze and optimize complex algorithms across CPU and GPU architectures, perform low-level performance tuning, publish optimization techniques, and collaborate with hardware, software, research, and developer communities to influence future architectures and programming models.

Work directly with the founders to build AI-powered sales automations, conduct lead research and outreach, support meetings, develop sales analytics, and contribute to market research, partnerships, investor outreach, strategy, communications, content, presentations, and events.

Leads AI and experience orchestration sales initiatives, serving as a subject matter expert for account teams and enterprise customers. Responsibilities include shaping deal strategy, territory planning, pipeline development, forecasting, customer workshops, AI use-case prioritization, proofs of concept, proposals, pricing, presentations, and sales enablement. Partners cross-functionally with marketing, product, customer success, and professional services while influencing senior stakeholders and driving AI-powered customer experience opportunities.

Owns an AI-focused financial product vertical from strategy through launch, including roadmap, backlog, metrics, technical design, money-movement correctness, reliability, security, and scalability. Incorporates regulatory requirements such as KYC, sanctions screening, transaction monitoring, privacy, and data residency. Defines responsible AI usage, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead technical presales for complex enterprise AI and contact center opportunities across Eastern Europe and DACH. Responsibilities include discovery, solution design, customized demonstrations, presentations, proof-of-concepts, competitive analysis, and translating AI capabilities into business value. The role also involves thought leadership at customer events, collaboration with sales and product teams, and shaping solutions for major enterprise deals. Fluency in English and Polish, Germany-based work, and regional travel are required.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, and continuous improvement across financial products including investing, payments, savings, insurance, and travel.

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.

Own product areas for KIRA’s AI stockbroking and financial-services applications. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously iterate using data, research, feedback, and production insights.

Build and deploy LLM-powered systems for construction tendering workflows. Own AI features end to end, from models and agents through backend services, APIs, and TypeScript front-end integrations. Develop RAG, tool-use, reasoning, and evaluation systems; maintain production monitoring and alerting; and collaborate with Product, Engineering, and Data. The role requires strong Python, TypeScript, React, Node.js, backend engineering, and experience shipping AI features to production.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Own AI Investing product areas from user research and problem definition through roadmap planning, launch, measurement, and iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, make informed trade-offs, and deliver customer-focused features quickly. Use metrics, feedback, experiments, and production insights to improve outcomes across insurance, payments, savings, investing, travel, and related financial services.

Build and operate reliable full-stack DevTools and AI reliability software using Vue.js, TypeScript, Node.js, Golang, PostgreSQL, ClickHouse, and AWS. Use AI coding agents throughout development, engage directly with developer and SRE customers, identify and solve reliability problems, own features from discovery through production, and participate in support and on-call rotations within a remote async-first team.

Grow Qure’s user base from scratch by testing acquisition channels, managing budgets, creating marketing assets, building measurable funnels, and partnering with product on activation-focused improvements. The role requires rapid experimentation across paid, organic, community, video, and content channels, using data to optimize acquisition economics and eliminate underperforming efforts.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Conduct foundational AI safety research with Yoshua Bengio and the LawZero team. Develop theoretical frameworks, safe AI architectures, and probabilistic safety guarantees under finite data and compute constraints. Analyze existing research, formalize safety requirements, guide empirical experiments, publish scientific work, and communicate complex ideas to technical and non-technical audiences. The role focuses on building Scientist AI systems that are capable, transparent, and safe by design.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Lead product direction and execution for major areas of BJAK's AI Neobank app. Define roadmap, priorities, standards and success metrics across multiple squads; guide PMs, designers and engineers; translate regulatory and operational constraints into product decisions; drive launch quality, post-launch learning and continuous improvement; work across insurance, payments, savings, investing and travel.

Manage relationships with AI-native startups, scaleups, and labs in Germany. Understand customer goals, develop AI solution strategies, coordinate NVIDIA technical and business resources, drive adoption of AI platforms, build ecosystem partnerships, develop customer references, identify emerging use cases, and represent NVIDIA at industry events. The role requires deep AI industry knowledge, strategic planning, cross-functional collaboration, and familiarity with NVIDIA’s software, server, and cloud stack.