1

Internship Retrieval Augmented Generation Jobs in Nebraska

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

AI & Automation Engineer

Omaha, NE

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Sr AI Engineer

Bellevue, NE · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with LLMs and agent frameworks , such as tool calling, function execution, retrieval-augmented generation (RAG), memory, and planning patterns. * Proficiency in one or more ...

Data Scientist

Omaha, NE · Remote

  • Retirement

  • PTO

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

Sr AI Engineer

Bellevue, NE · On-site

$99K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with LLMs and agent frameworks , such as tool calling, function execution, retrieval-augmented generation (RAG), memory, and planning patterns. * Proficiency in one or more ...

Showing results 21-28

Internship Retrieval Augmented Generation information

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 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 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:

Senior AI Engineer

TEKsystems

Omaha, NE • Remote

$65 - $100/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

A leading construction and engineering organization is seeking a Senior AI Engineer to help design, build, and scale an enterprise AI platform that powers intelligent applications across the business. This role will focus on developing the AI orchestration layer that enables teams across the organization to leverage AI solutions securely, efficiently, and at scale.

This engineer will play a key role in advancing a flagship internal AI platform that serves as the foundation for workflow orchestration, agent-to-agent communication, observability, and AI-driven business solutions. The platform is being built to support enterprise-wide adoption of AI by creating reusable services, scalable APIs, and seamless integrations with cloud and data platforms.

What You'll Be Working On
  • Building the AI orchestration layer behind a strategic enterprise AI platform.
  • Developing reusable AI services and APIs that can be leveraged across multiple applications and business units.
  • Creating scalable backend solutions that enable agent-based workflows and enterprise AI capabilities.
  • Enhancing observability and monitoring so teams can better track AI requests, troubleshoot issues, and optimize performance.
  • Supporting the evolution of a platform that allows systems across the organization to integrate with AI services through a common framework.
  • Collaborating with architects, product leaders, and application development teams to implement innovative AI solutions.
Key Responsibilities
  • Design, develop, and deploy reusable AI platform services and backend APIs.
  • Build scalable cloud-native services that orchestrate enterprise AI capabilities.
  • Develop integrations with leading AI platforms and large language model technologies.
  • Design and optimize Retrieval-Augmented Generation (RAG) solutions and agent-based workflows.
  • Integrate AI services with enterprise data platforms and cloud infrastructure.
  • Implement monitoring, logging, observability, and performance optimization strategies.
  • Ensure AI solutions meet security, governance, and compliance requirements.
  • Mentor engineers through code reviews and technical leadership.
Required Experience
  • 5+ years of professional software engineering experience.
  • Experience building production-grade AI services, AI platforms, or reusable AI infrastructure.
  • Strong background developing scalable backend APIs and distributed systems.
  • Experience with LLM integrations, AI workflows, MCP, and RAG architectures.
  • Hands-on experience with cloud-native development and containerized environments.
  • Strong SQL and relational database experience.
  • Experience delivering complex enterprise software solutions.
Desired Technical Skills
  • Azure AI Foundry
  • Azure OpenAI
  • Anthropic Claude
  • C#
  • .NET
  • Python
  • TypeScript
  • React
  • Azure
  • Docker
  • Microservices Architecture
  • Domain-Driven Design (DDD)
  • Git
  • LangFuse
  • Cursor IDE
  • Copilot
What Makes This Opportunity Unique

This role offers the opportunity to directly influence the future of enterprise AI adoption within a large-scale organization. You'll help build the core platform that enables AI-powered workflows across critical business functions, improve observability and reliability of AI systems, and contribute to next-generation capabilities such as agent-to-agent communication and enterprise AI orchestration. Your work will create a foundation that allows teams across the organization to develop and deploy AI solutions faster, more securely, and with greater impact.

Location: Remote opportunities available, with select roles supporting teams based in Omaha, NE and other regional offices such as Lenexa, KS or Denver, CO.

Job Type & Location

This is a Contract to Hire position based out of Omaha, NE.

Pay and Benefits

The pay range for this position is $65.00 - $100.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Aug 22, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.