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Build and ship full-stack web apps using React, Node.js/NestJS, and Python, while integrating AI tooling and LLM agents into products and workflows.
Build and scale secure AWS infrastructure (EKS, Lambda, Terraform) for AI/ML workloads, automate CI/CD with GitLab, and run a centralized observability stack (Prometheus/Grafana) to support production LLM inference and vector databases.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Senior AI Engineer builds voice and agentic AI systems, designing and deploying conversational agents and AI-driven workflows.
Senior AI Engineer to design, build, and deploy AI models and systems for Rootstrap's clients.
At IONOS, the leading European provider of cloud infrastructure, cloud services and hosting services, you will work together with a wide range of teams. We are characterized by open structures, a friendly working…
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
Build AI-powered automation tools and agentic systems to streamline Apple’s engineering workflows, using Python, LLMs, and modern web frameworks.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and Azure AI services, integrating LLMs with RAG pipelines and vector databases.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based workflows.
Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data using open standards like STAC/OGC APIs and tools such as GDAL, Xarray, and Kubernetes.
Senior Data Engineer builds and maintains AI-ready data pipelines and platforms for a global real-estate operator, enabling analytics and LLM integrations across property, financial, and IoT data sources.
Lead the design of scalable document ingestion and vectorization pipelines for financial data, enabling AI-powered analytics and retrieval in a cloud-native environment.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Designs and governs the firm’s enterprise AI architecture, including LLM-powered systems, agent orchestration, and secure data integrations for legal and advisory workflows.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
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