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LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home Location: San Francisco, CA, us, Remote Job Description LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home As…
Build and deploy AI/ML solutions—LLM/GenAI, reinforcement learning, or MLOps—to drive personalization, customer insights, and business growth from raw data to production systems.
Build and deploy production-grade GenAI agent systems for enterprise customers, integrating Google Cloud’s AI stack with live infrastructure and driving ROI from prototypes to scalable solutions.
Build OSS intelligence and AIOps for autonomous network operations, including alarm correlation, fault management, and AI-assisted assurance across telecom domains.
Build and deploy AI-powered applications and automation using LLMs (GPT, Claude, Gemini), Python, Azure, and Kubernetes while integrating security and CI/CD pipelines.
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
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 the greenfield Kubernetes-native infrastructure for a new integration product, owning clusters, IaC, Kafka, identity, and observability across hybrid cloud and on-prem environments.
Leads AI initiatives, designs and iterates LLM prompts, and builds enterprise AI solutions like copilots and chatbots using Python, LangChain, and vector databases.
Designs and refines AI prompts for enterprise copilots and low-code tools, runs rapid experiments, and consults cross-functional teams to implement generative-AI solutions in Python and cloud platforms.
Build and maintain AI-powered clinical tools like voice transcription and note generation, integrating LLMs and vector search while ensuring reliability, security, and observability for 28,000+ healthcare practitioners.
Salary: £33,000 - 60,000 per year Requirements: We are looking for strong experience in C# and .NET, including .NET Core 8/10+. We need proven experience building backend services, APIs, and microservices. We value…
Build and deploy AI/ML prototypes and integrations to automate workflows for finance and shared-service teams using Python, LLMs, and cloud APIs.
Lead AI engineering for commerce software, designing and scaling AI agents and retrieval systems to power enterprise marketplaces and retail media.
Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
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 lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants, integrating LLMs and optimizing performance under senior guidance.
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