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Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Build and deploy production-grade AI/ML and GenAI models for media analytics, personalization, and content intelligence at a global entertainment company.
Build and deploy AI tools to automate workflows across trading, operations, and customer success using LLMs and agentic systems, shipping production-ready solutions quickly.
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Build and deploy LLM-powered AI systems, RAG pipelines, and agent workflows using Python and cloud platforms for enterprise clients.
Build and deploy AI solutions for enterprise clients using cloud platforms and data tools, collaborating with leading tech partners.
Build full-stack AI-native products, prototypes, and platforms using Python, React, and LLM workflows. Work across Infinity’s ecosystem, from rapid prototyping to production systems.
Builds and optimizes ETL pipelines, vector databases, and LLMOps for AI services using Python/Java/Scala, focusing on RAG/LLM workflows and multimodal data.
Build and ship full-stack web apps while using AI coding assistants daily and integrating LLM features (RAG, chatbots, agents) into products using frameworks like LangChain and cloud AI services.
Build AI-powered applications using LLMs, RAG, and agents, and develop scalable backend services with Python, .NET, and React for Playtech’s gaming platforms.
We are Local Infusion. Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry, because patients deserve better. By providing both…
Advises clients on generative AI solutions, building chatbots, document tools, and RAG pipelines using Python, LangChain, and cloud AI services like AWS Bedrock and SageMaker.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Optimize and scale an AI-powered influencer marketing platform’s data pipeline, tuning models and improving semantic search with multi-modal embeddings in a serverless AWS environment.
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.
Build and deploy autonomous AI agents and RAG pipelines to automate safety training analytics and compliance workflows, integrating with enterprise systems like CRM and LMS.
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
Build AI-driven features and autonomous agents for Cisco’s Partner Hub, integrating LLMs and agentic frameworks to automate workflows and deliver predictive insights for partners.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description We're looking for an Automation…
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