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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.
Build and ship production-grade AI features (LLM integrations, RAG, agents) for an iGaming affiliate platform, turning prototypes into scalable, high-load services.
Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
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…
Senior Python developer building backend services and AI integrations for KTS AI Platform and AI assistants using FastAPI, Langchain, and vector databases.
Builds and maintains AI-powered microservices for an e-commerce platform using FastAPI, vector search (Qdrant/Elasticsearch), RAG, and Kafka/Celery pipelines.
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
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 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.
Build an AI pipeline to auto-generate structured documentation from a large industrial codebase using LLMs, vector search, and knowledge graphs.
Automate testing of an AI-assisted pipeline that generates structured documentation from a large industrial codebase using LLMs, vector search, and knowledge graphs, ensuring accuracy and compliance with EU cybersecurity standards.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
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.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Build and deploy LLM-based AI agents and NLP systems for a new fintech product, including prompt engineering, RAG, and agent orchestration with LangGraph and MCP.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Build automation and internal tools for Qdrant Cloud’s Kubernetes-based infrastructure using Go and Python, focusing on cluster provisioning, lifecycle management, and reducing operational toil.
Company Overview ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient’s natural immune system,…
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