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Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Build and ship AI agents end-to-end: design LLM-powered backends with RAG, vector search, and event streaming, then expose them via modern Vue/React frontends.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, ensuring alignment with AI governance, risk controls, and regulatory requirements.
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge…
ABOUT THE ROLE We are seeking a hands-on AI Applications Developer to design, build, integrate, and support enterprise AI-enabled applications, copilots, document intelligence solutions, knowledge search experiences,…
Build and maintain a secure AI platform for law-enforcement investigations, integrating LLMs, RAG, and agentic workflows with backend services and frontend interfaces.
Architect and deploy enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while leading cloud-native development and MLOps.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Analyzes business needs to design AI-powered solutions on Microsoft Power Platform and Azure, bridging stakeholders and tech teams while validating ideas with rapid AI prototyping.
Designs enterprise AI solutions on Microsoft’s stack, setting standards and guiding teams to build secure, scalable GenAI apps using Azure AI, Copilot Studio, and modern frameworks.
Analyze business needs and shape AI solutions using Microsoft Power Platform and Azure, bridging stakeholders and technical teams to deliver value.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade AI features.
Build and optimize AI-ready data pipelines, vector stores, and retrieval systems using Airflow, Elasticsearch, and Python to power large-scale AI models and RAG applications.
Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
Build secure, scalable AI-powered search systems using LLMs, RAG pipelines, and Elasticsearch for a government customer in a TS/SCI environment.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade delivery.
Design and operate AI-focused data pipelines that ingest, store, and process high-volume data for model-ready datasets, vector stores, and low-latency retrieval in a government defense context.
Lead AI/ML engineering for classified systems: design, deploy, and secure LLMs and retrieval pipelines in air-gapped environments while aligning with government accreditation and responsible-AI standards.
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