GenAI Technical Lead Architect
Miami, FL · On-site
GenAI, .NET, Azure, enterprise AI,LlamaIndex or LangChain, Pinecone, Azure OpenAI • Bachelor's degree in related field • 12-15 years in enterprise architecture and solution design • Proven ...
GenAI Technical Lead Architect
Miami, FL · On-site
GenAI, .NET, Azure, enterprise AI,LlamaIndex or LangChain, Pinecone, Azure OpenAI • Bachelor's degree in related field • 12-15 years in enterprise architecture and solution design • Proven ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
Python + Gen AI Developer - New York
Manhattan, NY · On-site
$55 - $76/hr
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
Python + Gen AI Developer - New York
Manhattan, NY · On-site
$55 - $76/hr
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
Familiarity with LangChain , LlamaIndex , Bedrock , OpenAI , Vertex AI , and knowledge bases Note: GitHub repo review is strongly recommended. Technical vetting and assessment testing are preferred.
Quick apply
Familiarity with LangChain , LlamaIndex , Bedrock , OpenAI , Vertex AI , and knowledge bases Note: GitHub repo review is strongly recommended. Technical vetting and assessment testing are preferred.
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...
Llamaindex information
How does a LlamaIndex engineer typically collaborate with data scientists and other team members during the development of AI-driven applications?
A LlamaIndex engineer often works closely with data scientists, product managers, and software engineers to design and implement robust data pipelines for large language model (LLM) applications. Collaboration usually involves regular meetings to align on data requirements, model performance metrics, and integration points. Engineers are responsible for ensuring data is efficiently indexed, accessible, and up-to-date, while also providing technical insights to optimize retrieval and performance. Effective communication and teamwork are key, as projects are often cross-functional and iterative, requiring ongoing feedback and adaptation.
What is the difference between Llamaindex vs Data Analyst?
| Aspect | Llamaindex | Data Analyst |
|---|---|---|
| Required credentials | Typically requires knowledge of data management, APIs, and AI tools | Bachelor's degree in statistics, mathematics, or related field; often requires certifications in data analysis |
| Work environment | Tech companies, AI startups, data-driven organizations | Business, finance, healthcare, and other industries with data needs |
| Employer and industry usage | Used by organizations integrating AI and data indexing solutions | Common in industries analyzing large datasets for insights |
| Search and comparison intent | Understanding AI data tools vs traditional data analysis roles | Comparing AI-driven data indexing tools with traditional data analysis |
While Llamaindex focuses on AI-powered data management and integration, Data Analysts primarily interpret and analyze data to inform business decisions. Both roles require data literacy but differ in technical focus and work environment.
What is LlamaIndex?
LlamaIndex is an open-source data framework that helps developers connect large language models (LLMs) to various data sources. It provides tools to ingest, organize, and query data, making it easier for LLMs to retrieve relevant information from documents, databases, APIs, and more. LlamaIndex streamlines the development of LLM-powered applications by managing data pipelines and facilitating efficient, context-aware interactions with external or private data. This enables more useful, accurate, and customizable AI solutions for a wide range of use cases.
What are the key skills and qualifications needed to thrive as a LlamaIndex engineer, and why are they important?
To thrive as a LlamaIndex Engineer, you need strong programming skills in Python, experience with data structures, and a solid understanding of information retrieval concepts, typically supported by a degree in computer science or a related field. Familiarity with LlamaIndex's framework, knowledge of vector databases (like FAISS or Pinecone), and experience with machine learning libraries are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and building scalable data solutions. These skills ensure the delivery of efficient, reliable systems that support advanced data indexing and retrieval tasks.
More about Llamaindex jobs
What cities are hiring for Llamaindex jobs? Cities with the most Llamaindex job openings:
What states have the most Llamaindex jobs? States with the most job openings for Llamaindex jobs include:
What job categories do people searching Llamaindex jobs look for? The top searched job categories for Llamaindex jobs are:
Full-time
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Job description
Hi
Our client is looking for a GenAI Technical Lead Architect - AI (GenAI, .NET, Azure) project in Miami, FL below is the detailed requirement.
Job positing Title: GenAI Technical Lead Architect - AI (GenAI, .NET, Azure)
Location: Miami, FL
Required Skills: GenAI, .NET, Azure, enterprise AI,LlamaIndex or LangChain, Pinecone, Azure OpenAI
Job description:
• Bachelor's degree in related field
• 12-15 years in enterprise architecture and solution design
• Proven experience in end-to-end system design and large-scale implementations
• 8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
• Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
• Strong API integration: REST, OAuth
• MCP / tool-layer design for LLM agents; FASTMCP a strong plus
• Financial services platforms (DealCloud, Backstop, or similar) advantageous
Preferred Skills
• Experience building AI platforms / control planes / orchestration layers
• Exposure to low-code/no-code platforms (Appian or similar)
• Experience with AI governance, LLMOps, and enterprise AI rollout
• Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB
Our client is looking for a GenAI Technical Lead Architect - AI (GenAI, .NET, Azure) project in Miami, FL below is the detailed requirement.
Job positing Title: GenAI Technical Lead Architect - AI (GenAI, .NET, Azure)
Location: Miami, FL
Required Skills: GenAI, .NET, Azure, enterprise AI,LlamaIndex or LangChain, Pinecone, Azure OpenAI
Job description:
• Bachelor's degree in related field
• 12-15 years in enterprise architecture and solution design
• Proven experience in end-to-end system design and large-scale implementations
• 8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
• Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
• Strong API integration: REST, OAuth
• MCP / tool-layer design for LLM agents; FASTMCP a strong plus
• Financial services platforms (DealCloud, Backstop, or similar) advantageous
Preferred Skills
• Experience building AI platforms / control planes / orchestration layers
• Exposure to low-code/no-code platforms (Appian or similar)
• Experience with AI governance, LLMOps, and enterprise AI rollout
• Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001