We're looking for a senior AI engineer with hands-on experience in generative AI, API integrations, and advanced agent-based applications. The ideal candidate brings a mix of full-stack, AI, and cloud engineering…
AI Product Engineer at SmallClaims, a Danish legal tech company automating small-claims recovery up to €25k via AI agents. Owns end-to-end development of LLM pipelines (Python/FastAPI) and back-office platform (Laravel/Next.js), including agentic workflows, evals/observability, and production deployment on AWS.
Staff Program Manager leading Reddit's central data labeling operations, translating product needs into scalable human and LLM-assisted annotation workflows, managing vendor teams, and building taxonomy and quality frameworks for Ads and Consumer products.
The engineer GPU-accelerates generative AI workloads (LLMs, diffusion, multimodal models), optimizes training and inference on NVIDIA platforms, and works with developers and internal teams to improve frameworks, low-level libraries, and future hardware/software stacks using C/C++ and performance tuning.
About the company My client is a leading high-tech startupspecializing in the research and development of products in the fieldof artificial intelligence and autonomous systems . The goal is totransform pioneering…
Apply NowPrincipal Research Scientist (f/m/d) - Knowledge Graphs and Generative AIDate: 10/29/2026Company: SAPWe help the world run betterAt SAP, we keep it simple: you bring your best to us, and we'll bring out…
Designs, develops, and maintains production backend services and APIs that integrate AI capabilities into enterprise workflows, collaborating with AI engineers, data engineers, and clients. Requires backend programming, cloud platforms, databases, and CI/CD.
Builds automation workflows and AI agents using n8n, Make, Zapier and OpenAI APIs for DACH clients; implements integrations, maintains solutions, and collaborates with consultants.
Leads the design and implementation of enterprise-scale Generative AI solutions, defining architecture, governance, and standards for LLMs, RAG, AI agents, and model routing while collaborating with product and business teams and mentoring engineers. Core technologies include AWS/Databricks, MLOps, and Responsible AI frameworks.
Designs and writes graduate-level Applied AI course content—lessons, labs, assignments, and rubrics—using LLMs, RAG, AI agents, APIs, and no-code/low-code tools, while collaborating with learning designers and university faculty to keep materials current and academically rigorous.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this…
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