ZipRecruiter

Log In

1

Ai Rag Jobs in Carmel, IN (NOW HIRING)

Coforge

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

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 ...

Deloitte

Google AI Architect

Indianapolis, IN

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 ...

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

AI Engineer Consultant

Indianapolis, IN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Elevate Ventures

AI Engineer

Indianapolis, IN · On-site

$70 - $90/hr

... RAG workflows, embeddings, and orchestration. * Work across the stack: frontend (React, TypeScript ... Experiment with new AI models, APIs, and dev tools -- bringing that curiosity back into ...

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 ...

Masco Corporation

AI Agent Developer

Indianapolis, IN · On-site

Implement retrieval-augmented generation (RAG) pipelines using Delta Lake, Unity Catalog, and ... AI practices (guardrails, human-in-loop). * Monitor production agents for reliability, latency ...

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

... RAG). • Contributions to open-source ML projects or published research. • Awareness of ethical ... AI (e.g., data consent, misuse risks). Company : Founded and incorporated in 2012 , Info Way ...

next page

Showing results 1-20

All JobsAi Rag JobsAi Rag Jobs in Carmel, IN

Ai Rag information

See Carmel, IN salary details

$31.9K

$58.2K

$83.4K

How much do ai rag jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai rag in Carmel, IN is $58,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $64,900.00 per year, depending on experience, location, and employer.

What is an AI RAG?

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.

What are the key skills and qualifications needed to thrive as an AI researcher?

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 are common challenges faced by AI RAG 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 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.

What are popular job titles related to Ai Rag jobs in Carmel, IN?

For Ai Rag jobs in Carmel, IN, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Carmel, IN look for?

The top searched job categories for Ai Rag jobs in Carmel, IN are:

What cities near Carmel, IN are hiring for Ai Rag jobs?

Cities near Carmel, IN with the most Ai Rag job openings:

Ai Rag jobs near you

DDCS Data Engineer

Coforge

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Re-posted 4 days ago

Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

163rd of 225 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).


What Coforge employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply