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Summer 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 ...

Jobgether

Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented Generation (RAG) architectures. * Establish evaluation frameworks, benchmarking approaches, and ...

Jobtailor

Senior AI Product Architect

California, MO · On-site

$180 - $260/hr

Provide direction for distributed search, semantic search, vector databases, embeddings, hybrid search, and retrieval-augmented generation * Partner with Data Science and AI Engineering to ...

Vizient

Lead Data Scientist

Cape Girardeau, MO · On-site

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 · On-site

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 · On-site

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

Jobtailor

Principal AI Security Specialist

California, MO · On-site

$180 - $260/hr

Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated ...

Jobtailor

AI Engineer

Troy, MO · On-site

$120 - $180/hr

Familiarity with tool-calling/agent frameworks, retrieval-augmented generation (RAG), and vector databases * Experience defining evaluations or test harnesses to measure and improve LLM and tool ...

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 ...

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All JobsSummer Retrieval Augmented Generation JobsSummer Retrieval Augmented Generation Jobs in Missouri

Summer Retrieval Augmented Generation information

What is a summer retrieval augmented generation role?

A Summer Retrieval Augmented Generation (RAG) role typically refers to a summer position focused on developing or improving retrieval-augmented generation systems, which are AI models that combine information retrieval with generative capabilities. In this role, you might work on integrating search algorithms with large language models, enabling systems to fetch relevant information from external sources and generate accurate, context-aware responses. These positions are often found in research labs, tech companies, or startups working on advanced AI applications, and are ideal for students or early-career professionals interested in machine learning, natural language processing, and AI research.

What are some common challenges faced when working on retrieval-augmented generation (RAG) projects during a summer internship?

During a summer internship focused on Retrieval-Augmented Generation (RAG), interns often encounter challenges such as integrating retrieval systems with generative models, managing large-scale datasets, and optimizing latency for real-time responses. Collaboration with cross-functional teams—including data engineers, research scientists, and product managers—is essential for aligning project goals and troubleshooting implementation issues. Additionally, interns may need to balance exploratory research with delivering usable prototypes within tight timeframes, which helps develop both technical and project management skills.

What are the key skills and qualifications needed to thrive as a retrieval augmented generation (RAG) engineer, and why are they important?

To thrive as a Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, typically supported by a degree in computer science or a related field. Proficiency with frameworks like PyTorch or TensorFlow, experience with vector databases (e.g., FAISS, Pinecone), and familiarity with LLM APIs are commonly required. Creative problem-solving, strong communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These competencies ensure effective development, deployment, and optimization of advanced AI systems that integrate retrieval and generative capabilities.

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 cities in Missouri are hiring for Summer Retrieval Augmented Generation jobs?

Cities in Missouri with the most Summer Retrieval Augmented Generation job openings:

Summer Retrieval Augmented Generation jobs near you

Principal Agentic AI Engineer

Exavalu

California, MO • On-site

$140 - $200/hr

Other

Posted 13 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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