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About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Build and scale enterprise AI applications end-to-end, integrating LLMs and RAG systems with full-stack Python/React and production ML infrastructure.
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
Empower every employee. Flip ist die führende KI-gestützte Employee Experience Platform für Frontline Worker. Wir revolutionieren, wie die Menschen arbeiten, die die Welt am Laufen halten- in Retail, Manufacturing und…
Empower every employee. Flip is the leading AI-powered employee experience platform for frontline workers. We're transforming how people do their jobs across the industries that keep the world running: retail,…
AI Consultant developing generative AI solutions for public sector clients, focusing on NLP, RAG, LLMs, chatbots, and AI agents. Works in interdisciplinary teams to design and implement scalable AI systems while advising public sector clients on AI projects and compliance requirements.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build autonomous AI agents and LLM-powered apps for talent acquisition using RAG, embeddings, and vector databases.
The AI Analyst builds and maintains end-to-end AI systems, including RAG pipelines, agent workflows, and data integrations, to automate business processes using Python, SQL, and LLM technologies.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
Designs and builds a high-performance data platform for an AI-driven cybersecurity product, handling petabyte-scale security telemetry with streaming and batch processing.
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
DevOps-инженер проектирует и поддерживает CI/CD пайплайны, управляет Kubernetes-кластерами и автоматизирует инфраструктуру для цифровых продуктов.
A Full-stack Engineer at EverHelp builds end-to-end features for AI-powered customer service products, including frontend (React/Next.js), backend (Node.js/Python), and AI components like agents and RAG systems, while designing high-load scalable systems and maintaining code.
AI Engineer will own the analysis engine, evaluation framework, retrieval systems, and agentic architecture for RIVA, a product that analyzes businesses using language models. Core technologies include Python, FastAPI, PostgreSQL, LLM SDKs, LangChain, DSPy, and vector databases like pgvector or Qdrant.
Develops and deploys advanced AI agents at the intersection of research and engineering, focusing on Agentic RAG, context management, and multi-agent systems for real-world task execution.
Designs, codes, and deploys scalable GenAI services, chatbots, and autonomous agents using modern frameworks; maintains LLM infra on-premise (Docker/Kubernetes), optimizes RAG pipelines, and ensures security. Core tech: Python, LLMs, RAG, vector databases, Docker/Kubernetes.
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