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Internship Retrieval Augmented Generation Jobs in Missouri

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$140 - $200/hr

Retrieval-Augmented Generation (RAG) * Application Logic * Hybrid AI Patterns * Mentor engineers, conduct code reviews, and establish engineering best practices. * Parallelize delivery across ...

Delan Associates, Inc

AI Agentic Tester

Denver, MO · On-site +1

AI Agentic Tester Denver, MO (Remote) Must-Have Skills AI Agentic Testing Functional Testing Generative AI Testing Large Language Models (LLMs) AI Agents & Agentic AI Retrieval-Augmented Generation ...

Delan Associates, Inc.

AI Agentic Tester

Denver, MO · On-site +1

Retrieval-Augmented Generation (RAG) * Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs, Swagger) * Python * Test Automation (Selenium / Playwright ...

Vizient

Lead Data Scientist

Cape Girardeau, MO

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

Jobtailor

Mid-Level AI Platform Engineer

California, MO · On-site

$150 - $190/hr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and ...

Deloitte

Oracle Gen AI Manager

Kansas City, MO

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Deloitte

Oracle Gen AI Manager

Saint Louis, MO

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Artera

Solutions Engineer

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Translate complex AI/ML concepts (e.g., context windows, Retrieval-Augmented Generation, Model Context Protocol) into highly clear, value-driven information for clinical, operational, and executive C ...

DDN

Senior Staff Engineer - AI Data Path

California, MO · On-site

$180 - $250/hr

Experience with Retrieval-Augmented Generation (RAG) pipelines and open vector search ecosystems. * Background in high-performance computing (HPC) or hyperscale distributed environments. * Expertise ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... retrieval-augmented generation, LLMOps, and responsible AI - while fostering a culture of ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

... Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting. • Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... retrieval-augmented generation, LLMOps, and responsible AI - while fostering a culture of ... Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty ...

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

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

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

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

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

Internship Retrieval Augmented Generation jobs near you

Principal Agentic AI Engineer

Exavalu

California, MO • On-site

$140 - $200/hr

Other

Posted 7 days ago

Job description

Exavalu Solutions India Pvt Ltd | Full time

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Job Description

This is a remote position.

Overview

We are seeking an experienced Agentic AI Technical Lead to lead a high-impact Agentic AI SWAT Pod responsible for delivering next-generation AI solutions across strategic business use cases.

This is a hands-on technical leadership role where you will architect, build, review, troubleshoot, and deploy production-grade AI applications while mentoring a compact engineering team. You will drive the adoption of modern Agentic AI architectures, intelligent workflows, Retrieval-Augmented Generation (RAG), and orchestration frameworks to deliver scalable enterprise AI solutions.

The ideal candidate should possess a strong software engineering background with recent hands-on coding experience in AI applications and have successfully delivered production-grade LLM, RAG, or Agentic AI solutions.

Key Responsibilities
Technical Leadership
  • Lead a compact Agentic AI SWAT Pod across multiple AI use-case tracks.
  • Drive technical architecture and implementation for enterprise Agentic AI solutions.
  • Select the most appropriate solution architecture using:
    • Agentic AI
    • Workflow Automation
    • Retrieval-Augmented Generation (RAG)
    • Application Logic
    • Hybrid AI Patterns
  • Mentor engineers, conduct code reviews, and establish engineering best practices.
  • Parallelize delivery across multiple workstreams while ensuring technical consistency.
AI Solution Development
  • Design and develop production-ready AI agents and autonomous workflows.
  • Build intelligent AI systems using:
    • Large Language Models (LLMs)
    • Agentic AI
    • RAG architectures
    • Multi-agent orchestration
  • Develop reusable AI components and reference implementations.
  • Own critical code paths and contribute to hands-on software development.
Agent Orchestration & Integration

Take ownership of:

  • Agent orchestration
  • Context management
  • AI workflow readiness
  • AI service integrations
  • Design scalable, secure, and maintainable AI platforms.
  • Troubleshoot production issues and optimize AI workloads.
  • Implement CI/CD best practices for AI applications.
  • Build observability into AI systems using modern monitoring frameworks.
  • Ensure engineering quality through testing, code reviews, and deployment automation.
Required Skills & Experience
  • 10+ years of software engineering, platform engineering, or AI development experience.
  • Recent hands-on coding experience in production environments.
  • Large Language Model (LLM) applications
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI solutions
  • Strong software engineering fundamentals.
  • Experience building scalable enterprise AI applications.
  • Strong understanding of API development, cloud-native architecture, and distributed systems.
  • Experience implementing CI/CD pipelines and production monitoring.
Primary Skills
Programming Languages
  • Python
  • Java
  • TypeScript
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • AI Assistants
  • AI Orchestration
  • Prompt Engineering
Frameworks & Technologies
  • LangGraph
  • AI Workflow Orchestration
  • REST APIs
DevOps
  • Git
  • Deployment Automation
Observability
  • OpenTelemetry
  • Performance Optimization
Secondary Skills (Good to Have)
  • LangChain
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • Knowledge Graphs
  • Multi-Agent Systems
  • Docker
  • Distributed Systems
  • MLOps
  • AI Governance
RequirementsRequired Skills & Experience
  • 10+ years of software engineering, platform engineering, or AI development experience.
  • Recent hands-on coding experience in production environments.
  • Large Language Model (LLM) applications
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI solutions
  • Strong software engineering fundamentals.
  • Experience building scalable enterprise AI applications.
  • Strong understanding of API development, cloud-native architecture, and distributed systems.
  • Experience implementing CI/CD pipelines and production monitoring.
Primary Skills
Programming Languages
  • Python
  • Java
  • TypeScript
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • AI Assistants
  • AI Orchestration
  • Prompt Engineering
Frameworks & Technologies
  • LangGraph
  • AI Workflow Orchestration
  • REST APIs
DevOps
  • Git
  • Deployment Automation
Observability
  • OpenTelemetry
  • Performance Optimization
Secondary Skills (Good to Have)
  • LangChain
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • Knowledge Graphs
  • Multi-Agent Systems
  • Docker
  • Distributed Systems
  • MLOps
  • AI Governance

Diversity Inclusion:

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

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