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Llamaindex Jobs in Indiana (NOW HIRING)

MetroStar

Sr. AI Engineer I (6811)

Indianapolis, IN · On-site

$132K - $175K/yr

Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows. Fine-tune large language models for instruction ...

MetroStar

Solutions Architect (6812)

Indianapolis, IN · On-site

$78K - $115K/yr

Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows. * Fine-tune large language models for ...

Workiva

$40/hr

Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building and deploying AI Agents to automate data processing and analysis tasks * Participate in code ...

MetroStar

Sr. AI Engineer I (6811)

Indianapolis, IN · On-site

$132K - $175K/yr

... LlamaIndex to orchestrate modular, multi-step workflows. • Fine-tune large language models for instruction-following, code synthesis, and domain-specific adaptation. • Integrate code-as-data ...

MetroStar

Solutions Architect (6812)

Indianapolis, IN · On-site

$78K - $115K/yr

Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows. * Fine-tune large language models for ...

Workiva

$40/hr

Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building and deploying AI Agents to automate data processing and analysis tasks * Participate in code ...

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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 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 August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Sr. AI Engineer I (6811)

Indianapolis, IN • On-site

MetroStar
IT Services • 201 - 500 employees
Learn more about MetroStarexternal

$132K - $175K/yr

Full-time

Posted 17 days ago

Job description

As Sr. AI Engineer I, you'll design secure, scalable, cloud-enabled architectures that modernize legacy Marine Corps systems and enable AI-assisted code conversion. This role partners closely with customers, engineers, and stakeholders to translate mission requirements into achievable technical solutions, select appropriate frameworks and platforms, and guide implementation across AI/ML, data, cloud, DevSecOps, and legacy modernization efforts.

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you'll do:

Serve as a technical advisor to customers and internal teams, explaining architecture decisions, tradeoffs, risks, and implementation options to both technical and non-technical stakeholders.
Recommend cloud, data, AI/ML, and DevSecOps patterns that align with government security and operational requirements.
Identify technical risks, dependencies, and constraints, and develop practical mitigation strategies.
Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows.
Fine-tune large language models for instruction-following, code synthesis, and domain-specific adaptation.
Integrate code-as-data paradigms (ASTs, control/data flow graphs) to improve model explainability and trust.
Create scalable, secure, and efficient AI architectures, selecting appropriate frameworks, algorithms, and cloud platform

What you'll need to succeed:

5+ years overall experience building AI, ML, or data science applications
2+ years of experience in AI system design
Strong grasp of model context protocol (MCP) to standardize how models interact with APIs and external data sources, including legacy code bases.
Strong proficiency in Java for implementing machine learning algorithms, data processing pipelines, or integrating AI components into production systems.
Excellent proficiency in Python, API development, and secure system design.
An active Secret Security clearance
Department of War Databricks

SALARY RANGE:  $132,000 - $175,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

  • The candidate's professional background and relevant work experience
  • The specific responsibilities of the role and organizational needs
  • Internal equity and alignment with current team compensation
  • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
    • Performance-based bonuses
    • Company-paid training and/or certifications
    • Referral bonuses

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