Top Artificial Intelligence Jobs in Berlin

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

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.

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

The Sales Development Representative will identify potential manufacturing customers, initiate conversations, qualify leads, and work closely with Account Executives to enhance sales pipeline and strategies.

As a Senior AI Engineer, you will develop AI agents, integrate features into a web app, enhance matching systems, and collaborate across teams to deliver ML solutions.

As an AI Adoption Engineer, you'll drive AI implementation for clients by scoping use cases, building solutions, and ensuring customer success through hands-on support and technical expertise.

Lead research and productionization of generative and representation-learning systems for large-scale recommendations. Build and optimize user/content embeddings, multi-stage retrieval/ranking pipelines, and deploy high-throughput, low-latency models in production while mentoring teammates and driving research direction.

Design and own the platform's knowledge graph and agentic AI pipelines: ingest and resolve entities, implement NER and entity-disambiguation, integrate LLM APIs and AI web search tools, build RAG and conversational graph-interrogation layers, maintain Python data pipelines (Databricks -> Neo4j), and drive evaluation, documentation, and architectural decisions.

Design and build Enpal's internal AI platform and Agent Runtime to orchestrate production AI workflows. Develop scalable backend services, developer APIs, observability/evaluation tooling, CI/CD and IaC for reliable, reproducible, cost-efficient AI feature delivery. Collaborate with product and engineering teams and drive architectural and quality standards.

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.

Join as the founding engineer to own architecture and ship features for an AI-driven adaptive learning platform. Build full-stack (Next.js/TypeScript/Python), implement LLM agents and RAG pipelines, iterate with schools, and shape technical strategy and hiring as an equity-holding co-founder.

Build and own Python backend systems that orchestrate multi-provider AI model pipelines for generating music videos. Improve reliability, latency, and cost, instrument production systems, contribute to prompt engineering, model evaluation, and fine-tuning, and collaborate on architecture and new product surfaces.

Participate in a 14-day notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with notification-generating apps, complete daily sorting tasks and short feedback/check-in forms, report issues, and follow project instructions. Work is remote, short daily sessions (10–15 minutes), managed via Upwork.

Design and build backend services, cloud-native infrastructure, data pipelines and AI deployment workflows for an edge-to-cloud industrial AI platform. Work with founders, ML/CV engineers and pilot factories to deploy, monitor and scale production-grade systems, dashboards, and sustainability KPIs.

Lead international commercial expansion and scale sales teams as a manager-of-managers. Own market openings, replicate GTM playbook across geographies, design SDR/AE structures, manage CRM and Sales AI tooling, run pipeline reviews, coach field sales, close key deals, and own country-level P&L while growing the company from ~50 to 100+ employees.

Design and implement user-facing features from concept through implementation, combining UX design and front-end engineering. Build, iterate, and maintain UI/UX and business logic to drive engagement and conversion, collaborate with product/marketing/support, participate in code reviews, and leverage modern tools and deployment workflows.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

Provide hands-on stabilization of multiple early-stage, often AI-generated codebases: assess, fix bugs, refactor, add missing core functionality (auth, payments), improve performance, implement lightweight testing, and collaborate across teams on fractional hourly engagements.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Lead hands-on applied AI work: prototype demos, accelerate customer POC-to-production, perform technical onboarding, optimize distributed training and inference on GPU infrastructure, research and implement emerging ML techniques, and feed actionable product feedback while producing reusable assets and benchmarks.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.