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Llamaindex Jobs in Ohio (NOW HIRING)

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Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock) * Web application development using Next.js, React, TypeScript/JavaScript * AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena ...

Pyck GmbH

$80 - $120/hr

Praktische Erfahrung mit modernem AI-Tooling wie Claude, Cursor, LangChain, LlamaIndex oder vergleichbaren Tools. * Starkes Verständnis von AI-System-Design (RAG, Agents, Evaluation, Cost & Latency ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LlamaIndex, and Hugging Face Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management Experience with Docker, Kubernetes, and containerized deployments Understanding ...

Flexjet LLC

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Familiarity with frameworks such as LangChain, LlamaIndex, and Hugging Face * Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management * Experience with Docker ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LlamaIndex, and Hugging Face Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management Experience with Docker, Kubernetes, and containerized deployments Understanding ...

Gravity IT Resources

AI Defense Engineer

Cincinnati, OH · On-site

$120 - $160/hr

Strong understanding of neural network frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex) or agentic/orchestration platforms. * Experience conducting application security reviews or threat ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LlamaIndex, and Hugging Face · Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management · Experience with Docker, Kubernetes, and containerized deployments · ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LlamaIndex, and Hugging Face • Knowledge of MLOps practices, including CI/CD, model monitoring, and lifecycle management • Experience with Docker, Kubernetes, and containerized deployments • ...

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Llamaindex information

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.

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 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.

What is the difference between Llamaindex vs Data Analyst?

AspectLlamaindexData Analyst
Required credentialsTypically requires knowledge of data management, APIs, and AI toolsBachelor's degree in statistics, mathematics, or related field; often requires certifications in data analysis
Work environmentTech companies, AI startups, data-driven organizationsBusiness, finance, healthcare, and other industries with data needs
Employer and industry usageUsed by organizations integrating AI and data indexing solutionsCommon in industries analyzing large datasets for insights
Search and comparison intentUnderstanding AI data tools vs traditional data analysis rolesComparing 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 are popular job titles related to Llamaindex jobs in Ohio?

For Llamaindex jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Llamaindex jobs in Ohio look for?

The top searched job categories for Llamaindex jobs in Ohio are:

What cities in Ohio are hiring for Llamaindex jobs?

Cities in Ohio with the most Llamaindex job openings:

Llamaindex jobs near you
Infographic showing various Llamaindex job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 3% Part Time, 1% Temporary, and 6% Contract. Highlights an 61% Physical, 3% Hybrid, and 36% Remote job distribution.

Senior Agentic AI Engineer

Alltech Consulting Services, Inc.

Columbus, OH • On-site

$114K - $150K/yr

Other

Posted 2 days ago

New

Job description

Position: Senior Agentic AI Engineer (Python / TypeScript / Java) – 12+ Years

Headcount: 1

Type of hire: FTC

Location: Columbus, OH (all 5 days onsite).

JD:

  • 12+ years of software engineering experience with strong expertise in Python, TypeScript, or Java.
  • Candidate should be owning end-to-end delivery with minimal supervision.
  • Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex) and TypeScript (Node.js, NestJS, Express) for backend services, AI agents, and orchestration layers.
  • Strong expertise in Agentic AI architecture, including agent design patterns, multi-agent systems, planning, reasoning, memory management, tool/function calling, and workflow orchestration.
  • Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks
  • Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and enterprise AI applications.
  • Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications.
  • Ability to independently own user stories from requirement analysis through development, unit testing, peer reviews, Dev/UAT testing, deployment, and production support.
  • Experience developing scalable APIs, microservices, and cloud-native AI solutions on AWS.
  • Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization.
  • Collaborate with Product Owners, Architects, Data Scientists, and Platform teams to deliver enterprise AI capabilities.
  • Mentor engineering teams and drive engineering excellence across the complete SDLC.

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