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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?

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 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.
What are popular job titles related to Llamaindex jobs in Indiana? For Llamaindex jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Llamaindex jobs in Indiana look for? The top searched job categories for Llamaindex jobs in Indiana are:
What cities in Indiana are hiring for Llamaindex jobs? Cities in Indiana with the most Llamaindex job openings:
Llamaindex jobs near you
Infographic showing various Llamaindex job openings in Indiana as of July 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

IBM Case Manager Engineer W-2 ONLY

United Global Technologies

Indianapolis, IN • On-site

$17.50 - $22.50/hr

Full-time

Posted 8 days ago

Job description

W-2 ONLY NO SUBS NO SPONSORSHIP

• Hands on experience with designing, developing, and implementing the business processes and interface using workflow tools like IBM Case Manager, JavaScript, dojo, and java.
• Experience developing custom functionality within FileNet, ICM, and IBM BAW including custom widgets performing custom functions within custom built interfaces residing within IBM Case Manager.
• Development experience with python and the ability to integrate it with IBM Case Manager and FileNet.
• In-depth understanding of IBM Case Manager abilities, limitations, customizations, and architecture.
• Experience with Integrations using REST/SOAP/Java
• Deep understanding of Java and J2EE technologies
• Technical knowledge of database technologies and products such as Oracle, SQL
• Exposure to scripting technologies and various java script frameworks.
• Experience with code build using Maven, ant etc. and source code management using Git, BitBucket etc.
• Experience in an Agile Technology Development environment, preferably SAFe.
• Comprehensive knowledge of Software Development Life Cycle & Software Testing Life Cycle
• Strong understanding of software engineering best practices including Git, code reviews, and Agile development methodologies.
• Experience collaborating with IT and Business partners to gather requirements and implement new/enhanced features and functions.
• Good analytical and problem-solving skills.
• Excellent written/oral communication, documentation, and cross-functional collaboration skills.

o Hands-on experience with Generative AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, LlamaIndex or similar, and vector search (Qdrant, Pincone, etc).
o ReactUI front-end development experience
o Experience deploying AI solutions using Kubernetes, Docker containers, and cloud-native architectures

  • Responsible for programming on specific application subsets of the company's application portfolio, participating in all phases of the development and maintenance life cycle, typically for an assigned business unit, client program, or corporate department and utilizing various customer technology platforms.
  • Primary duties may include, but are not limited to: Maintains active relationships with customers to determine business requirements and leads requirements gathering meetings. Owns the change request process and may coordinate with other teams as necessary.
  • Develops and owns list of final enhancements.
  • Develops and defines application scope and objectives and prepares technical and/or functional specifications from with programs will be written.
  • Performs technical design reviews and code reviews.
  • Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan.
  • Assesses current status and supports data information planning.
  • Coordinates on-call support and ensures effective monitoring of system. Maintains technical development environment.
  • Mentors others and may lead multiple or small to medium sized projects.
  • Facilitates group sessions to elicit complex information on requirements clarification, design sessions, code reviews and troubleshooting issues.
  • Supports vendor evaluation.
  • Requires an BA/BS degree in Information Technology, Computer Science or related field of study and minimum of 5 years experience with multi-dimensional platform, business and technical applications; or any combination of education and experience, which would provide an equivalent background.
  • Experience leading people, small projects and providing troubleshooting support are strongly preferred.
  • Multi database and/or multi language strongly preferred.
  • If this job is assigned to any Government Business Division entity, the applicant and incumbent fall under a 'sensitive position' work designation and may be subject to additional requirements beyond those associates outside Government Business Divisions.
  • Requirements include but are not limited to more stringent and frequent background checks and/or government clearances, segregation of duties principles, role specific training, monitoring of daily job functions, and sensitive data handling instructions.
  • Associates in these jobs must follow the specific policies, procedures, guidelines, etc. as stated by the Government Business Division in which they are employed.