

ISITE TECHNOLOGIES
AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer in CA, offering a hybrid contract of unspecified length with a pay rate of "unknown." Requires 10+ years of experience, strong skills in Generative AI/LLM, AWS, and relevant certifications.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
California, United States
-
π§ - Skills detailed
#API (Application Programming Interface) #Microservices #Cloud #Amazon Neptune #Graph Databases #Compliance #Redis #Scala #AWS (Amazon Web Services) #Knowledge Graph #Big Data #Observability #Model Evaluation #Data Pipeline #Langchain #OpenSearch #Python #Spark (Apache Spark) #ML (Machine Learning) #Databases #Apache Spark #Data Engineering #Databricks #AI (Artificial Intelligence) #DynamoDB #Kubernetes
Role description
Job Role: AI Engineer
Location: CA
Experience: 10+years
Skills:
Required Skills
Strong experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering)
Experience with: Model evaluation frameworks and LLM observability tools, AI governance and compliance frameworks, Kubernetes and advanced MLOps practices
Familiarity with: Model Context Protocol (MCP) patterns, Agent-based architectures
Must Have Skills
β’ Skill 1 β Generative AI / LLM (RAG, embeddings, prompt engineering)
β’ Skill 2 β AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
β’ Skill 3 β Vector Search & Retrieval Systems (OpenSearch / vector DB)
β’ Skill 4 β Graph Databases (Amazon Neptune, knowledge graphs)
β’ Skill 5 β LLM Frameworks (LangChain / LlamaIndex)
β’ Skill 6 β Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
β’ Skill 7 β Databricks & Apache Spark (data pipelines, embedding pipelines)
β’ Skill 8 β Backend/API Development (Python, scalable APIs, microservices)
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Domain Experience β AI/ML Platform Engineering, Generative AI / LLM Applications, Data Platform / Big Data Engineering
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Must Have Certifications β
β’ AWS Certification (Preferred): AWS Certified Solutions Architect OR AWS Certified Machine Learning Specialty OR AWS Data Engineer Certification
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Location β β 2-3 days / week in the clientβs Irvine office, 1 day in their downtown LA office, 1 day remoteβ¦
Job Role: AI Engineer
Location: CA
Experience: 10+years
Skills:
Required Skills
Strong experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering)
Experience with: Model evaluation frameworks and LLM observability tools, AI governance and compliance frameworks, Kubernetes and advanced MLOps practices
Familiarity with: Model Context Protocol (MCP) patterns, Agent-based architectures
Must Have Skills
β’ Skill 1 β Generative AI / LLM (RAG, embeddings, prompt engineering)
β’ Skill 2 β AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
β’ Skill 3 β Vector Search & Retrieval Systems (OpenSearch / vector DB)
β’ Skill 4 β Graph Databases (Amazon Neptune, knowledge graphs)
β’ Skill 5 β LLM Frameworks (LangChain / LlamaIndex)
β’ Skill 6 β Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
β’ Skill 7 β Databricks & Apache Spark (data pipelines, embedding pipelines)
β’ Skill 8 β Backend/API Development (Python, scalable APIs, microservices)
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Domain Experience β AI/ML Platform Engineering, Generative AI / LLM Applications, Data Platform / Big Data Engineering
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Must Have Certifications β
β’ AWS Certification (Preferred): AWS Certified Solutions Architect OR AWS Certified Machine Learning Specialty OR AWS Data Engineer Certification
\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Location β β 2-3 days / week in the clientβs Irvine office, 1 day in their downtown LA office, 1 day remoteβ¦






