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Rag Engineer Jobs in Indiana (NOW HIRING)

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Implement RAG (Retrieval-Augmented Generation) solutions using document chunking, embeddings ... Engineering Experience (5+ Years)

New

ASCENSUS

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

This is a mid-level software engineering role for someone who is strong in core engineering ... Retrieval-augmented generation, or RAG, pipelines * Agent workflows and orchestration * Prompt ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

Zylo

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI ... Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance ...

ASCENSUS

Software Engineer

Indianapolis, IN · On-site

Identify whether issues stem from prompting, retrieval (RAG), tool selection, or backend systems ... Partner closely with engineering, product, and AI teams * Translate user issues into clear ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data. * Building scalable infrastructure and ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The ... Integrate Azure OpenAI (or equivalent) services into retrieval-augmented generation (RAG) solutions ...

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... RAG pipelines| and API development • Prior experience leading engineering teams in an Agile/Scrum environment Company : eTeam is a staffing agency that also provides payrolling services. Founded in ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows. * Evaluate, select, and integrate best-in ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows. * Evaluate, select, and integrate best-in ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Hands-on experience working with prompt engineering - building Retrieval-Augmented Generations (RAG) pipelines or experimenting with agent frameworks. * Strong programming skills in Python and R ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Indiana

Rag Engineer information

See Indiana salary details

$56.6K

$86.1K

$146.1K

How much do rag engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for rag engineer in Indiana is $86,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $99,900.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Indiana? For Rag Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Indiana look for? The top searched job categories for Rag Engineer jobs in Indiana are:
What cities in Indiana are hiring for Rag Engineer jobs? Cities in Indiana with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Indiana as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $86,127 per year, or $41.4 per hour.
DDCS Data Engineer

DDCS Data Engineer

Coforge

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted yesterday

Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

164th of 230 rated it services

Job description

Job Title: DDCS Data Engineer

Key Skills: Delivery, Devices, and Connected Solutions (DDCS), Microsoft Azure Fabric (Lakehouse, Data Factory, Fabric Pipelines), Delta Lake, Azure Data Factory, Azure Blob Storage, Azure Functions, Azure AI Services, Azure RBAC, Managed Identities, Key Vault.

Experience: 8-10 Years’ experience

Location: Indiana Polis, Indiana


We at Coforge are hiring experienced professionals with strong experience in Azure Fabric-based data pipelines, API integrations, AI/RAG document ingestion solutions, and PostgreSQL data platforms to support Lilly's regulated data and AI ecosystem.


Key Responsibilities:

  • Design, build, and maintain data ingestion pipelines using Microsoft Azure Fabric Lakehouse and PostgreSQL.
  • Develop ETL/ELT pipelines with data validation, quality checks, audit trails, and controlled data governance.
  • Build MCP connectors and AI-powered document ingestion pipelines for SharePoint, OneDrive, Veeva, Jama, and other document sources.
  • Implement RAG (Retrieval-Augmented Generation) solutions using document chunking, embeddings, vector databases, and LLMs.
  • Develop REST API integrations with OAuth authentication, pagination, schema management, and error handling.
  • Create OCR-based document processing pipelines for scanned and handwritten PDFs using Azure AI Document Intelligence or similar tools.
  • Build and manage data solutions on Azure Fabric, including Fabric Data Factory, Lakehouse, Delta Lake, and Fabric Pipelines.
  • Develop and support AWS-based data integrations using S3, Lambda, API Gateway, Glue, and RDS/Aurora.
  • Design and implement PostgreSQL Gold-layer schemas, data models, lineage tracking, and governance frameworks.
  • Develop production-grade solutions using Python, PySpark, Docker, CI/CD, and Git.
  • Implement data quality monitoring, operational alerting, and pipeline documentation.
  • Integrate Azure OpenAI/LLM APIs into enterprise AI search and knowledge retrieval solutions.
  • Ensure compliance with GxP, ALCOA+, 21 CFR Part 11, and enterprise security standards.
  • Collaborate with architects and stakeholders on schema evolution, data modeling, and platform scalability.


Required Skills & Experience

  • Microsoft Azure Fabric (Lakehouse, Data Factory, Delta Lake), Python / PySpark, ETL/ELT Pipeline Development, PostgreSQL & SQL, REST APIs & OAuth, Azure OpenAI, RAG & Vector Search.
  • Document Ingestion, OCR & AI Search, Azure AI Services & Azure Data Factory, AWS (S3, Lambda, API Gateway, Glue), Data Modeling & Medallion Architecture.
  • Docker, CI/CD & Git, MCP Connectors, Data Lineage, Audit Trail & Data Governance, ALCOA+, GxP, 21 CFR Part 11 Compliance, Production-Grade Data Engineering Experience (5+ Years).


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