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Internship Retrieval Augmented Generation Jobs in Nebraska

Kiewit Corporation

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

Kiewit

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows. * Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement ...

Cayenta

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

AT&T

Lead Cybersecurity - Insider Risk Engineer

Kimball, NE · On-site

$102K - $134K/yr

Create and iterate on LLM prompts, agent/workflow logic, and retrieval-augmented generation (RAG ... internships/academic projects welcome). * Strong fundamentals in Python. * Working knowledge of:

Genesys

Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required . Design scalable knowledge and retrieval strategies that ground AI responses in ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

$90K - $120K/yr

Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector ...

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

Working knowledge of generative AI orchestration frameworks, retrieval-augmented generation (RAG) architectures, and enterprise AI deployment pipelines. We value diverse experiences, skills, and a ...

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Internship Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is an Internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an Internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What job categories do people searching Internship Retrieval Augmented Generation jobs in Nebraska look for? The top searched job categories for Internship Retrieval Augmented Generation jobs in Nebraska are:
Internship Retrieval Augmented Generation jobs near you

Sr AI Engineer

Kiewit Corporation

Papillion, NE • On-site, Remote

$98K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

24th of 80 rated construction

Job description

Requisition ID: 181457 

Job Level: Senior Level 

Home District/Group: DHO Information Technology Group 

Department: Technology Group 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

Kiewit is seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and platform APIs that application development teams integrate into their solutions. The ideal candidate has experience building cloud-native backend services and production AI systems using technologies such as Model Context Protocol (MCP), agent-based workflows, Retrieval-Augmented Generation (RAG), and enterprise LLM platforms. This engineer independently delivers complex platform capabilities, mentors junior engineers, and collaborates with architects, product managers, and application development teams.

District Overview

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions. 

Location

This is a full time in office role located in LaVista, NE or Lenexa, KS. 

Responsibilities
  • Design, develop, and deploy reusable AI platform services and backend APIs.
  • Build scalable backend services that orchestrate enterprise AI capabilities.
  • Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved AI providers.
  • Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.
  • Integrate AI platform services with enterprise data platforms and cloud infrastructure.
  • Implement observability, monitoring, logging, and troubleshooting for AI services.
  • Optimize platform performance, scalability, reliability, and cost.
  • Mentor junior engineers through code reviews and technical guidance.
  • Collaborate with architects and application teams on solution implementation.
  • Ensure solutions meet security, compliance, and governance standards.

Technologies & Platforms

  • Languages: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
  • AI: Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, MCP, agent workflows, RAG
  • Cloud: Azure Container Apps, Azure Functions, Docker
  • Data: SQL, PostgreSQL, Azure SQL
  • Tooling: LangFuse, Cursor IDE, Git
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 5+ years of professional software engineering experience
  • 2+ years building production AI services, AI platforms, or reusable AI infrastructure
  • Experience building scalable backend APIs and distributed services
  • Experience with LLM integrations, MCP, AI workflows, and RAG
  • Experience with Docker and cloud-native container platforms
  • Experience building and deploying cloud-native applications
  • Strong SQL and relational database design skills
  • Experience mentoring engineers and delivering complex production software

Preferred Qualifications

  • Experience with Azure AI Foundry, Anthropic Claude SDK, or Azure OpenAI
  • Experience building shared AI platforms, SDKs, or platform APIs
  • Experience with LangFuse, Prisma or Drizzle, Express or Fastify Familiarity with React and Shadcn UI
  • Knowledge of DevOps, CI/CD, and Infrastructure as Code #LI-AK1

Other Requirements:

  • Regular, reliable attendance 
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 

What Kiewit Corporation employees say

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Benefits

Hours and flexibility

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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