Machine Learning Engineer

Build and optimize RAG pipelines, vector databases, embeddings, and document-processing workflowsDesign agentic AI systems — including tool calling, orchestration, reasoning loops, and workflow automationDevelop Applied AI solutions that integrate with customer backend systems, APIs, and data sourcesImplement AI services on Kubernetes, cloud environments, or customer-controlled infrastructureWork directly with customers to deliver high-quality technical implementations, demos, and documentation(Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platformsREQUIRED SKILLSStrong experience with LLMs and agent frameworks such as LangChain, LlamaIndex, or custom-built solutionsExpertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategiesHands-on experience with Kubernetes, Docker, and scalable API deploymentAbility to understand customer workflows and translate them into actionable technical solutions