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Retrieval Augmented Generation Jobs in Indiana (NOW HIRING)

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 ...

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 ...

Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context‑aware analysis. * Develop AI agents and workflows using frameworks ...

$175K - $250K/yr

Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI frameworks, Retrieval Augmented Generation (RAG), AI orchestration, and AI governance * Experience working within ...

$175K - $250K/yr

Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI frameworks, Retrieval Augmented Generation (RAG), AI orchestration, and AI governance * Experience working within ...

Senior Legal Counsel

Indianapolis, IN · Hybrid

$133K - $181K/yr

... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...

Engineer Lead Sr, FDE

Indianapolis, IN · On-site

$98K - $129K/yr

Define the technical approach for LLMs, retrieval-augmented generation (RAG), tool integration, orchestration, human-in-the-loop, and evaluation patterns. * Work directly with business, product, and ...

Showing results 21-40

Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Indiana?

The most popular types of Retrieval Augmented Generation jobs in Indiana are:

What are popular job titles related to Retrieval Augmented Generation jobs in Indiana?

For Retrieval Augmented Generation jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Retrieval Augmented Generation jobs in Indiana look for?

The top searched job categories for Retrieval Augmented Generation jobs in Indiana are:

What cities in Indiana are hiring for Retrieval Augmented Generation jobs?

Cities in Indiana with the most Retrieval Augmented Generation job openings:

Infographic showing various Retrieval Augmented Generation job openings in Indiana as of August 2026, with employment types broken down into 68% Full Time, 30% Part Time, and 2% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.

IBM Case Manager Engineer W-2 ONLY

United Global Technologies

Indianapolis, IN

$17.50 - $22.50/hr

Full-time

Re-posted 11 days ago


Job description

W-2 ONLY NO SUBS NO SPONSORSHIP

• Hands on experience with designing, developing, and implementing the business processes and interface using workflow tools like IBM Case Manager, JavaScript, dojo, and java.
• Experience developing custom functionality within FileNet, ICM, and IBM BAW including custom widgets performing custom functions within custom built interfaces residing within IBM Case Manager.
• Development experience with python and the ability to integrate it with IBM Case Manager and FileNet.
• In-depth understanding of IBM Case Manager abilities, limitations, customizations, and architecture.
• Experience with Integrations using REST/SOAP/Java
• Deep understanding of Java and J2EE technologies
• Technical knowledge of database technologies and products such as Oracle, SQL
• Exposure to scripting technologies and various java script frameworks.
• Experience with code build using Maven, ant etc. and source code management using Git, BitBucket etc.
• Experience in an Agile Technology Development environment, preferably SAFe.
• Comprehensive knowledge of Software Development Life Cycle & Software Testing Life Cycle
• Strong understanding of software engineering best practices including Git, code reviews, and Agile development methodologies.
• Experience collaborating with IT and Business partners to gather requirements and implement new/enhanced features and functions.
• Good analytical and problem-solving skills.
• Excellent written/oral communication, documentation, and cross-functional collaboration skills.

o Hands-on experience with Generative AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, LlamaIndex or similar, and vector search (Qdrant, Pincone, etc).
o ReactUI front-end development experience
o Experience deploying AI solutions using Kubernetes, Docker containers, and cloud-native architectures

  • Responsible for programming on specific application subsets of the company's application portfolio, participating in all phases of the development and maintenance life cycle, typically for an assigned business unit, client program, or corporate department and utilizing various customer technology platforms.
  • Primary duties may include, but are not limited to: Maintains active relationships with customers to determine business requirements and leads requirements gathering meetings. Owns the change request process and may coordinate with other teams as necessary.
  • Develops and owns list of final enhancements.
  • Develops and defines application scope and objectives and prepares technical and/or functional specifications from with programs will be written.
  • Performs technical design reviews and code reviews.
  • Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan.
  • Assesses current status and supports data information planning.
  • Coordinates on-call support and ensures effective monitoring of system. Maintains technical development environment.
  • Mentors others and may lead multiple or small to medium sized projects.
  • Facilitates group sessions to elicit complex information on requirements clarification, design sessions, code reviews and troubleshooting issues.
  • Supports vendor evaluation.
  • Requires an BA/BS degree in Information Technology, Computer Science or related field of study and minimum of 5 years experience with multi-dimensional platform, business and technical applications; or any combination of education and experience, which would provide an equivalent background.
  • Experience leading people, small projects and providing troubleshooting support are strongly preferred.
  • Multi database and/or multi language strongly preferred.
  • If this job is assigned to any Government Business Division entity, the applicant and incumbent fall under a 'sensitive position' work designation and may be subject to additional requirements beyond those associates outside Government Business Divisions.
  • Requirements include but are not limited to more stringent and frequent background checks and/or government clearances, segregation of duties principles, role specific training, monitoring of daily job functions, and sensitive data handling instructions.
  • Associates in these jobs must follow the specific policies, procedures, guidelines, etc. as stated by the Government Business Division in which they are employed.