AI / ML Engineer
Skills
About the role
Overview Join our innovative team as an AI / ML Engineer and become a driving force behind cutting-edge artificial intelligence and machine learning solutions. In this dynamic role, you will design, develop, and deploy advanced models that transform complex data into actionable insights.
Responsibilities
Build and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows
Design agentic AI systems — including tool calling, orchestration, reasoning loops, and 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
Work directly with customers to deliver high-quality technical implementations, demos, and documentation
(Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platforms
Requirements
Strong experience with LLMs and agent frameworks such as LangChain, LlamaIndex, or custom-built solutions
Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategies
Hands-on experience with Kubernetes, Docker, and scalable API deployment
Ability to understand customer workflows and translate them into actionable technical solutions
Pay: $107,147.11 - $140,000.00 per year
Work Location: In person
Compensation
This Machine Learning Engineer role pays $107k-$140k/yr. Within typical range for machine learning engineer roles in United States.
Questions about this role
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What's the typical salary for Machine Learning Engineer in United States?
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