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Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Builds custom AI applications, RAG pipelines, and integrations for a law firm, translating legal workflows into production-grade AI solutions using Python, LangChain, and Azure.
Build and maintain Azure + Snowflake data pipelines using Python, SQL, and Azure Data Factory, while collaborating with AI coding agents in a modern, AI-native engineering workflow.
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed…
Build AI-powered full-stack apps with .NET Core and React, using AI tools to analyze requirements, generate code, and deliver production features like conversational assistants and RAG systems.
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
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.
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.
Designs cloud-native data platforms and AI systems using LLMs, RAG, and agentic frameworks to build scalable, intelligent solutions for enterprises and public agencies.
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.
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.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
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.
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