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Ai Rag Jobs in Indiana (NOW HIRING)

L3HHCM20

Artificial Intelligence Specialist

Fort Wayne, IN · On-site +1

$109K - $203K/yr

RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector ...

DwyerOmega

Engineer: AI

Michigan City, IN · On-site

$70K - $80K/yr

Develop RAG solutions using vector databases and enterprise knowledge sources. * Integrate AI solutions with ERP, CRM, Microsoft Fabric, Azure, APIs, and databases. * Design secure automation ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

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 ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

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 ...

Zylo

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

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 ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... databases, RAG architecture, federated learning). • Evaluate new tools and frameworks for ... within the AI team. • Share technical insights and best practices through workshops ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to ... Applying AI to anomaly detection and market behavior analysis across electrical markets * Driving ...

Deloitte

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

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 ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

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, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Indiana? For Ai Rag jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Indiana look for? The top searched job categories for Ai Rag jobs in Indiana are:
What cities in Indiana are hiring for Ai Rag jobs? Cities in Indiana with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Artificial Intelligence Specialist

L3HHCM20

Fort Wayne, IN • On-site, Remote

$109K - $203K/yr

Other

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

Job Title: Artificial Intelligence Specialist

Job Code: 38585

Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX OR Herndon, VA

Job Schedule: 9/80 (Every other Friday off)

Job Description:

L3Harris is seeking an AI Specialist to support the Space and Mission Systems (SMS) segment AI team serving all SMS sectors. The AI Specialist will design, deploy, and maintain AI-enabled applications both in unclassified and secure containerized environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform engineering, and DevSecOps in a mission-critical defense environment.

Qualifications:

Ability to obtain and maintain a DoD Secret clearance is required
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

The application window for this requisition is anticipated to close September 01, 2026.

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