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Rag Engineer Jobs in Indiana (NOW HIRING)

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 ...

Performacentric

ML Engineer

Indianapolis, IN · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones ... Implement Retrieval-Augmented Generation (RAG) architectures. * Optimize inference performance ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... RAG, document chunking, embeddings, and summarization pipelines to support and unblock the data ... Agile engineering capabilities and a design-thinking mindset * Collaboration, adaptability ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... RAG, document chunking, embeddings, and summarization pipelines to support and unblock the data ... Agile engineering capabilities and a design-thinking mindset * Collaboration, adaptability ...

ASCENSUS

Software Engineer

Indianapolis, IN

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 ...

Sedgwick

Data Engineer AI

Indianapolis, IN · On-site

$109K - $131K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems. Key Responsibilities • ...

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 ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

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

Platform Engineer II

Carmel, IN · On-site

$125K - $150K/yr

Evaluate and apply AI-assisted engineering technologies, including generative AI, LLMs, prompt engineering, RAG, and agent frameworks, to advance Platform Operations and capabilities. * Troubleshoot ...

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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 5, 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:
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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 June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $86,127 per year, or $41.4 per hour.
Sr. AI Engineer

Sr. AI Engineer

ZYLO, INC.

Indianapolis, IN • On-site

$99K - $137K/yr

Full-time

Posted 21 days ago

Job description

Description:

Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo’s AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry’s most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider.


Overview

We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value..


What you will do

  • Drive strategic AI initiatives that directly impact client success and business growth, defining technical roadmaps and influencing product strategy to solve complex enterprise problems
  • Architect and enhance our agentic processes for enterprise-scale deployments, building sophisticated multi-agent orchestration patterns for complex workflows
  • Design advanced agent memory systems and context management solutions that maintain coherence across long-running conversations and extended enterprise tasks
  • Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
  • Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation
  • Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration
  • Design and optimize schemas for storing LLM interactions, agent state, and conversation history while building monitoring systems for AI operations
  • Lead cross-functional initiatives to integrate AI throughout our platform ecosystem, partnering with product and engineering teams to deliver measurable business value
  • Translate complex technical AI concepts into business value, working directly with enterprise clients to understand their needs and influence strategic platform decisions
  • Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance while maintaining high engineering standards for production AI systems.
Requirements:

What you need

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in AI/ML engineering with at least 2 years in a senior role
  • Proven experience building and deploying AI agents or conversational AI systems in production
  • Experience working with large-scale enterprise datasets and SaaS platforms.
  • Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads
  • Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments
  • Experience with RAG systems, vector databases, and semantic search
  • Understanding of Model Context Protocol (MCP) and AI agent integration patterns
  • Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch..
  • Knowledge of enterprise security patterns and compliance requirements
  • Ability to articulate technical concepts to technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, dynamic environment.
  • Flexibility to adapt to changing priorities and requirements.

Nice to have

  • Experience in SaaS Management or Software Asset Management.
  • Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Knowledge of ethical AI, bias mitigation, and AI safety best practices
  • Experience with LangChain and LangGraph frameworks

At Zylo, we’re committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community—we’re always looking for future Zylos who share our passion for continuous learning.