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Ai Rag Jobs in Hobart, IN (NOW HIRING)

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

Stryker Corporation

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. * Lead development of a portfolio of client-facing AI capabilities and integration ...

Koitecc Solutions

Principal, AI Engineer

Chicago, IL · On-site

$137 - $234/hr

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. * Lead development of a portfolio of client-facing AI capabilities and integration ...

CEDENT

Contact Center Solution Architect

Chicago, IL · Remote

$65 - $85.50/hr

Orchestration of solutions designs involving above + Middleware + end data system /generative AI+RAG * 8+ years of hands on technical experience in Contact Center & CX platforms * 8+ years of ...

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

Northern Trust Corp

Principal, AI Engineer

Chicago, IL · On-site

$137.40 - $233.60/hr

AI design patterns** (RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment.** **1. Lead development of a portfolio of client-facing AI ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Python | GenAI | LLM | OpenAI | Azure OpenAI | Anthropic | AWS Bedrock | LangChain | LangGraph | LlamaIndex | Agentic AI | RAG | Vector Search | Embeddings | Pinecone | pgvector | Weaviate ...

Northern Trust

Principal, AI Engineer

Chicago, IL · On-site

... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated financial environment. 1. Lead development of a portfolio of client-facing AI capabilities and integration ...

CitiusTech

AI Analytics Lead

Chicago, IL · On-site

GenAI, LLMs, OpenAI, Azure OpenAI, Agentic AI, RAG Pipelines * LangSmith, Promptfoo, LangFuse, Arize, Phoenix * Python, PowerShell, REST APIs, Webhooks, Automation * Microsoft Azure, SSO, RBAC ...

Bank of Montreal

Senior Cloud Engineer AI

Chicago, IL · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and automated ML pipelines • Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG ...

BMO Capital Markets

Senior Cloud Engineer AI

Chicago, IL

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

Neshent Technologies

Applied AI Architect

Chicago, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

New

Neshent Technologies

Applied AI Architect

Chicago, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

New

9to9 Software Solutions LLC

AI Lead

Chicago, IL · On-site

$144K - $177K/yr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring, governance, explainability ...

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All JobsAi Rag JobsAi Rag Jobs in Hobart, IN

Ai Rag information

See Hobart, IN salary details

$31.6K

$57.6K

$82.6K

How much do ai rag jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai rag in Hobart, IN is $57,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $64,300.00 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 cities near Hobart, IN are hiring for Ai Rag jobs?

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

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Hobart, IN as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $57,609 per year, or $27.7 per hour.

AI Automation Developer

Everest Technologies

Chicago, IL • On-site

Other

Posted yesterday

New

Job description

Role Summary

We are looking for an experienced Senior AI & Full-Stack Automation Engineer to design, build, and deploy high-impact, AI-powered applications and enterprise automation solutions using Microsoft Azure, Full-Stack Web Technologies, and Generative AI.

In this role, you will bridge the gap between user-facing front-end web interfaces, robust back-end APIs, and cutting-edge Retrieval-Augmented Generation (RAG) architecture. You will own the full product lifecycle—from designing intuitive front-end AI interactions and backend orchestration to integrating Azure OpenAI, vector search databases, and cloud-native automation workflows.

Key Responsibilities1. LLM & RAG Architecture Engineering

  • RAG System Design: Architect and deploy enterprise Retrieval-Augmented Generation (RAG) pipelines on Azure, utilizing Azure AI Search (formerly Cognitive Search) or vector databases (pgvector, Pinecone, Qdrant) for hybrid search, semantic ranking, and document chunking.

  • Azure OpenAI Integration: Develop and tune generative AI capabilities using Azure OpenAI Service (GPT-4/GPT-4o, embedding models), implementing system prompting, function calling/tooling, and multi-agent coordination frameworks (LangChain, Semantic Kernel, LlamaIndex, or AutoGen).

  • LLMOps & Evaluation: Establish continuous evaluation metrics (measuring hallucination, faithfulness, context relevancy), guardrails (Azure AI Content Safety), and token/cost optimization strategies.

2. Back-End Microservices & Automation

  • API Development: Design, build, and maintain scalable RESTful and Event-Driven APIs using Python (FastAPI/Flask) or Java, SpringBoot

  • Serverless & Workflow Orchestration: Build serverless automation pipelines and data ingestion streams using Azure Functions, Azure Logic Apps, and Event Grid.

  • Database Management: Structure relational data models and vector repositories to maintain high performance and low-latency response times.

3. Front-End Development & User Experience

  • Interactive AI Interfaces: Build intuitive, responsive front-end user interfaces using React, Next.js, or TypeScript/JavaScript.

  • Real-time UX Patterns: Design streaming chat interfaces (Server-Sent Events/WebSockets), document viewer integrations, citation callouts, and human-in-the-loop review dashboards to allow business users to inspect and refine AI outputs.

4. Delivery, Security & Cloud Engineering

  • Collaborate with business stakeholders and product leaders to identify manual operational bottlenecks and convert them into automated AI workflows.

  • Enforce security, data privacy, and governance standards (Azure RBAC, Key Vault, VNet integration).

  • Implement CI/CD automation and infrastructure monitoring using Git, Azure DevOps, and cloud telemetry tools.

QualificationsRequired Experience:

  • Overall Experience: 3+ years in full-stack software development, cloud automation, or AI engineering.

  • Generative AI & RAG: Hands-on experience building and deploying RAG architectures, semantic retrieval, vector search, and LLM applications using Azure OpenAI or related APIs.

  • Back-End Expertise: Proficiency in Python or C# (.NET Core), with strong expertise in API design, microservices, and asynchronous programming.

  • Front-End Expertise: Proficiency in modern client-side frameworks (React, Next.js, or TypeScript) to build user-facing web applications.

  • Azure Ecosystem: Practical experience with Azure AI Services, Azure AI Search, Azure Functions, Logic Apps, and database systems (Azure SQL, Cosmos DB, or PostgreSQL).

  • DevOps: Experience with Git, Docker, CI/CD pipelines, and Azure DevOps or GitHub Actions.

Preferred / Bonus Skills:

  • Experience with framework orchestrators like Microsoft Semantic Kernel, LangChain, or AutoGen.

  • Familiarity with enterprise data connectors and document parsing libraries (e.g., Unstructured, Azure AI Document Intelligence).

  • Microsoft Azure Certifications (e.g., Azure AI Engineer Associate, Azure Developer Associate).

  • Knowledge of fine-tuning open-source models or applying agentic workflows in business process automation.

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