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Design and deploy AI architectures for insurance pricing, integrating LLMs and agentic workflows to automate tariff analysis and simulations for Allianz’s Global P&C team.
Build production AI applications, agents, copilots, and intelligent workflows using Python and Microsoft Azure, integrating LLMs to automate business processes across the organization.
Design and build agentic workflows, RAG pipelines, and AI-assisted tools on top of LLMs for a custom sheet metal manufacturer. Core tech: LLM APIs, Python, RAG architecture, vector databases, agent orchestration frameworks.
Duration: 5 months contract (with potential for extension) Job Overview: We are seeking an AI Developer who is a fast learner and rapid problem solver, capable of quickly understanding new domains, technologies, and…
ML Engineer evaluating and optimizing Foundation Models and generative AI systems for Apple Media Services, building evaluation frameworks and MLOps pipelines using Python, PyTorch, and LLM tooling.
Build and scale an enterprise-grade GenAI platform, owning backend/frontend components and integrating LLMs/vector databases to deliver scalable, reliable AI APIs for customers.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
Overview Help build the world’s most advanced multimodal dataset at Microsoft AI We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from…
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Senior Generative AI Engineer building LLM-powered agentic chat platforms for healthcare, using Python, FastAPI, LangGraph, vector databases, and RAG pipelines on cloud infrastructure.
Principal ML Engineer builds and deploys scalable AI systems for industrial operations, transforming unstructured data into actionable insights using deep learning, generative AI, and computer vision.
Principal Solution Architect designs and scales AI-driven industrial data architectures, integrating LLMs and agentic systems into production for energy and manufacturing customers using Cognite Data Fusion.
Build and own end-to-end AI solutions inside HighLevel's internal ORA platform, designing pre-call briefs, in-call guidance, post-call grading, and follow-up workflows using LLMs, prompt engineering, and orchestration patterns.
Design, build, and maintain AI/GenAI solutions—RAG pipelines, vector databases, semantic search, and LLM applications—using Python, SQL, and Azure AI services within a hospital's Data & Analytics department.
Build and operate agentic AI workflows, agents, and automation for IT service management in an enterprise setting, using agentic AI studios, APIs, webhooks, and integration platforms.
Embed with enterprise customers to design and deploy Dialpad's AI-powered customer service agents, translating business needs into production-ready solutions using LLMs, vector databases, and agent frameworks.
Build and deploy AI agents for enterprise customers, integrating with CRMs and workflows to resolve real-time customer issues and automate tasks.
Build internal AI-powered tools for Apple’s Camera, Photos, and Image Quality teams, integrating vision models and LLMs into imaging workflows using Swift, Python, and React.
Own applied AI/ML solutions powering patient-provider matching, search ranking, and clinical personalization at a mental health company—building production recommendation engines, LLM integrations, and ML infrastructure using Python, vector databases, and search/relevance systems.
Leads end-to-end deployment of AI-powered customer support systems for large enterprises, designing scalable integrations and solving real-world technical challenges in production environments.
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