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Build and prototype AI solutions using RAG, LLMs, and modern data infrastructure in a fast-paced R&D environment focused on national security challenges.
Build and deploy AI/ML tools, including fine-tuning LLMs, to enhance cybersecurity and national security operations in secure environments.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, with occasional frontend work in React and Next.js.
Middle Full Stack Developer (Generative AI) Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. Location: Spain (100% Remote) Type:…
Builds and deploys AI/ML features (LLM-powered review categorization, summarization, and semantic search) for an app review management platform, optimizing for quality, latency, and cost.
Senior AI & Full-Stack Engineer builds and deploys AI-driven systems for fintech platform SmartLend, focusing on automating financial analysis, credit risk assessment, and lender matching using AI/ML, data pipelines, and full-stack development.
The Senior ML Engineer will build and deploy explainable AI models and agentic systems to power 6sense's GTM intelligence products. This role involves end-to-end ownership of machine learning pipelines, from data exploration to production deployment, using technologies like Python, NLP, and GenAI tools.
Die führenden Positionen auf den Märkten der Welt unserer Geschäfte Merz Aesthetics, Merz Therapeutics und Merz Consumer Care sind das Ergebnis unseres Innovationsgeistes – und des Engagements unserer Mitarbeiter. Ein…
On-site engineer embedded with enterprise clients to deploy, customize, and integrate an AI-powered knowledge management platform using TypeScript, Python, and Kubernetes.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
The Senior Data Engineer will architect and scale data ingestion pipelines and metadata infrastructure to support AI-driven valuation tools and market analytics for art assets. The role involves working with Python, SQL, and various data orchestration tools to process structured and unstructured data for ML and LLM applications.
Senior Data Engineer architecting scalable data ingestion pipelines, web scraping systems, and ML-ready data infrastructure for an art/collectibles valuation platform, using Python, SQL, PostgreSQL, and orchestration tools.
Builds and maintains AI-ready data pipelines in Snowflake, bridging raw data ingestion to AI feature outputs. Collaborates with data science and product teams to ensure data systems enable AI capabilities across the organization.
Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
Senior Technical Consultant designing and implementing enterprise cloud platform solutions, leading cloud migrations and AI-accelerated development initiatives using AWS/Azure/GCP, Kubernetes, Terraform, and AI coding tools.
Build and maintain high-throughput log pipelines, normalize raw logs into standard schemas, and optimize data routing for security analytics and AI/ML detection models.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Designs and builds AI systems end-to-end, integrating LLMs, RAG pipelines, and AI agents while optimizing performance and cost using modern AI coding tools.
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