Ai/Ml Engineer

<div>Build and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows<br /> Design agentic AI systems - including tool calling, orchestration, reasoning loops, and workflow automation<br /> Develop Applied AI solutions that integrate with customer backend systems, APIs, and data sources<br /> Implement AI services on Kubernetes, cloud environments, or customer-controlled infrastructure<br /> Work directly with customers to deliver high-quality technical implementations, demos, and documentation<br /> (Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platforms</div> <div> </div> <div>REQUIRED SKILLS<br /> Strong experience with LLMs and agent frameworks such as LangChain, LlamaIndex, or custom-built solutions<br /> Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategies<br /> Hands-on experience ...

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