Artificial Intelligence Engineer

Innorev Technologies Inc

Charlotte (NC)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Innorev Technologies Inc in Charlotte, NC designs and builds agentic AI solutions using LLMs like GPT, Azure OpenAI, and Claude. You will develop multi-agent workflows with planning, memory, and tool-use capabilities to automate complex tasks.

The role involves integrating APIs, enterprise systems, and knowledge sources into AI workflows, devising prompt strategies and RAG pipelines, and optimizing vector-based retrieval with FAISS, Pinecone, and Azure AI Search while ensuring scalable REST APIs

Qualifications

  • Design and develop agentic AI solutions with LLMs.
  • Develop multi-agent workflows with planning, memory, and tool-use.
  • Integrate APIs and enterprise systems into AI workflows.
  • Develop prompt strategies and RAG pipelines.
  • Build AI solutions using vector databases.

Responsibilities

  • Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude.
  • Build multi-agent workflows with planning, memory, and tool-use capabilities.
  • Integrate APIs, enterprise systems, and knowledge sources into AI workflows.
  • Develop prompt engineering strategies and implement RAG pipelines.
  • Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search.
  • Develop REST APIs and microservices while ensuring scalability, security, and performance.

Skills

Python
LangChain
Semantic Kernel
AutoGen
CrewAI
RAG
LLMs
Prompt Engineering
Embeddings
Vector Databases
REST APIs
Microservices
Azure AI
AWS AI Services

Tools

FAISS
Pinecone
Azure AI Search
Azure OpenAI

Job description

  • Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude
  • Build multi-agent workflows with planning, memory, and tool-use capabilities.
  • Integrate APIs, enterprise systems, and knowledge sources into AI workflows.
  • Develop prompt engineering strategies and implement RAG pipelines.
  • Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search.
  • Develop REST APIs and microservices while ensuring scalability, security, and performance.
  • Key Skills: Python, LangChain, Semantic Kernel, AutoGen, CrewAI, RAG, LLMs, Prompt Engineering, Embeddings, Vector Databases, REST APIs, Microservices, Azure AI/AWS AI Services.
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