AIML Engineer

Job Description:
 
Build and optimize RAG pipelines, vector databases, embeddings, and document processing workflows.
Design agentic AI systems (tool calling, orchestration, reasoning loops, workflow automation).
Develop Applied AI solutions that integrate with customer backend systems, APIs, and data sources.
Implement AI services on Kubernetes, cloud environments, or customer controlled infrastructure.
(Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platforms.
Work directly with customers to deliver high quality technical implementations, demos, and documentation.

Required Skills
Strong experience with LLMs, LangChain / LlamaIndex / custom agent frameworks.
Expertise in Python, vector DBs (Elastic, Milvus, Pinecone, etc.), embeddings, chunking.
Experience with Kubernetes, Docker, and scalable API deployment.
Ability to understand customer workflows and translate them into technical solutions.