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Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
Designs end-to-end AI systems (agents, LLM services with RAG, memory, tool calling) and embeds them into an enterprise stack while controlling latency, cost, and stability.
Build and deploy AI-powered features like RAG pipelines and agent systems using Python/TypeScript and LLM frameworks (OpenAI, Anthropic, LangChain/LlamaIndex).
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.
Design and deploy production-grade AI systems and ML pipelines, from model development to MLOps, using Python/R and cloud-native tools to drive business impact.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants, integrating LLMs and optimizing performance under senior guidance.
Build and deploy agentic chatbots using Google ADK, Vertex AI, and multi-agent workflows; optimize LLM performance and integrate with enterprise systems.
Build and deploy AI-powered tools and products for a fintech platform, using LLMs, RAG, and agentic workflows to automate workflows and enhance customer experiences.
Design and deploy backend services integrating Generative AI, RAG, and intelligent agents to automate workflows and transform data into actionable insights for real-world products.
Argyll Scott is seeking an AI Engineer to design, build, and deploy AI-powered applications and intelligent automation solutions in Kuala Lumpur. You will work with product managers, software engineers, and data teams…
Builds AI-powered user experiences by designing workflows, integrating models, and shipping React/Python features for a sovereign AI platform.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy AI systems: LLMs, RAG pipelines, APIs, and MLOps tooling to move models from experimentation to production at scale.
Design and build AI-powered user experiences using prompt builders, memory APIs, and agent orchestration, integrating React frontends with Python/Node.js backends.
Build and deploy AI-powered applications using LLMs, RAG, and agentic workflows; integrate models like OpenAI and Anthropic into enterprise systems with Python/TypeScript.
About The Role We are looking for a passionate and forward-thinking About The Role We are looking for a passionate and forward-thinking Full Stack Software Engineer to help build the next generation of RetailAIM , our…
As Senior Manager - Engineering, you will lead teams that integrate LLM APIs and agentic AI capabilities into new and existing web applications and software platforms. You will play a critical role in driving team…
Leads AI/ML model development for fintech customer support, focusing on chatbots, RAG systems, and scalable production deployments with cloud infrastructure and MLOps tools.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, while engineering robust data pipelines for scalable model training and evaluation.
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