AIML engineer

Job Title

AIML Engineer

Job Location

Santa Clara Valley, CA (Hybrid role)

Hire type

Full-time and Contract role

Background: Looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions for customers. The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), Agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex enterprise environments.

Responsibilities:

• 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.

Nice to Have:

• Knowledge of PLM, PDM, or enterprise engineering workflows.
• Experience with RAG evaluation, prompt engineering, and grounding strategies.
• Familiarity with enterprise architecture, IAM, SSO, or security constraints.