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Ai Rag Jobs in Missouri (NOW HIRING)

Equifax

AI Engineer

Saint Louis, MO · On-site

... models, RAG techniques, and agentic frameworks to solve unique business challenges. * Build for ... Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud ...

Equifax, Inc.

AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

... models, RAG techniques, and agentic frameworks to solve unique business challenges. * Build for ... Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud ...

WEX Inc.

Principal AI/ML Research Engineer

California, MO · On-site

$180 - $280/hr

... RAG, Reinforcement Learning), and transition experimental models into viable production pipelines. This Principal AI/ML Research Engineer will hold technical ownership of WEX's AI research strategy ...

McCarthy Building Companies

AI Engineer II

Saint Louis, MO · On-site

$92K - $126K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns ... AIP and AI-enabled workflows * Data products and pipeline development * Workshop applications and ...

eTeam

Kafka Expert with Agentic AI Skills

Saint Louis, MO · On-site

$54.25 - $71.75/hr

... MLOps, AI deployment pipelines, RAG architectures, and vector databases. • Experience integrating Kafka with cloud-native data services. • Experience working in large-scale enterprise ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns ... AIP and AI-enabled workflows * Data products and pipeline development * Workshop applications and ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns ... AIP and AI-enabled workflows * Data products and pipeline development * Workshop applications and ...

Tenex

Principal AI Engineer

Kansas City, MO · On-site

$180 - $240/hr

Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows. * Develop and productionize large-scale LLMs, graph-based reasoning engines ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... RAG) and Large Language Models (LLMs) in a production setting. • Manage underlying solution ...

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

Senior AI Engineer

O Fallon, MO · On-site +1

$97K - $134K/yr

Preferred Qualifications -Fraud, cybersecurity, payments, or risk management domains. -Experience with Generative AI, LLMs, RAG, or agentic AI applications. -Familiar with AI-assisted development ...

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Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Missouri?

For Ai Rag jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Missouri look for?

The top searched job categories for Ai Rag jobs in Missouri are:

What cities in Missouri are hiring for Ai Rag jobs?

Cities in Missouri with the most Ai Rag job openings:

Ai Rag jobs near you

AI Engineer

Equifax

Saint Louis, MO • On-site

Other

Medical, Retirement, PTO

Re-posted 27 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking a visionary AI engineer to lead our technology transformation initiative. In this role, you will lead a talented team in architecting and deploying cutting-edge, cloud-native solutions for a large enterprise. You will be at the forefront of modern development, employing vibe coding concepts with AI-powered coding assistants like GitHub Copilot, Gemini, and accelerate innovation and build highly scalable, reliable, and performant APIs, microservices, and PaaS/SaaS platforms, including the ability to design, develop, and deploy AI agents in the google cloud platform. This role requires a deep understanding of both front-end and back-end technologies, combined with mastery of cloud infrastructure, containerization, microservices architecture and the agentic AI framework. You're not just a coder; you're an architect, a mentor, and a key driver of the team's technical vision. If you are passionate about solving complex problems and mentoring a high-performing team, we want to hear from you.
This role requires being in the office 3 days/week on Tues - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
As our AI Engineer, you will be the driving force behind our technical vision and execution. Your core responsibilities include:
  • Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph. You will own the core logic that automates intricate decision-making within the claims lifecycle.
  • Master Prompt & Context Engineering: Design, test, and refine complex prompts and contextual data frameworks to ensure our AI agents perform with maximum accuracy, efficiency, and reliability.
  • Lead AI Research & Innovation: Stay at the bleeding edge of AI. You'll be responsible for identifying, prototyping, and integrating the latest foundational models, RAG techniques, and agentic frameworks to solve unique business challenges.
  • Build for Production Scale on Google Cloud Platform: Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud Platform. Your work will directly impact millions of users.
  • Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning, monitoring, and observability of our AI agents, using tools like Langfuse to ensure production-grade performance.
  • Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality, ensuring our AI solutions are both innovative and effective.
  • Champion modern software development practices by actively using AI code-assist tools (e.g., Gemini code assists, Github Copilot, Claude code) to accelerate development cycles, generate documentation, improve code quality, testing, and monitoring & observability practices
  • Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement.
  • Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations (DevSecOps, FinOps) best practices.
  • Collaborate with product managers, architects, SREs and business partners to define technical strategy, create software roadmaps, and make key architectural and design decisions.
  • Lead troubleshooting efforts to resolve production and customer issues, demonstrating deep technical expertise and problem-solving skills.
  • Participate and lead agile team activities, including Sprint Planning and Retrospectives, to ensure efficient and predictable delivery
  • Lead with a data/metrics driven mindset with a extreme focus towards optimizing and creating efficient solutions
  • Drive up-to-date technical documentation including support, end user documentation and run books
  • Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

What You'll Bring (Experience & Technical Stack)
  • Bachelor's degree or equivalent experience
  • 7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems.
  • Experience in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems.
  • Direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks.
  • In-depth experience with Google Cloud Platform (Google Cloud Platform), specifically its AI/ML services (Vertex AI, etc.).
  • 3+ years of proven experience leveraging Kubernetes workloads.
  • Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams.
  • Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows
  • Cloud-Native Proficiency:
    • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
    • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
    • Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
    • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
    • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.
    • Cloud-Native Proficiency:
    • Cloud Platforms: Extensive hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
    • Containerization: Mastery of Docker for containerizing applications and Kubernetes for orchestration.
    • Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to manage infrastructure programmatically.
    • CI/CD Tools: Experience with CI/CD tools such as Github Actions, Argo CD, Jenkins
    • Database Knowledge: Strong experience with both SQL (e.g., Spanned DB, Alloy DB, PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB and Firestore) databases.

What could set you apart
  • Strong expertise in Generative AI (GenAI), including hands-on experience with models like Gemini, ChatGPT, Claude, or Llama.
  • You are adept at leveraging modern development tools, including AI-powered code assistants (like GitHub Copilot), to accelerate the development lifecycle and rapidly ship high-quality features
  • Experience creating and deploying AI agents to production environments.
  • You have a history of tackling ambiguous, complex technical challenges and architecting elegant, effective solutions.
  • You are passionate about the potential of AI, but you are grounded in the practical realities of building and shipping reliable, production-ready software.
  • You thrive in a team-oriented environment, capable of mentoring other engineers and clearly communicating complex technical ideas to any audience.
  • You are motivated by the opportunity to apply cutting-edge technology to solve meaningful, real-world problems at a massive scale.

#LI-ES1
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-St. Louis-Lackland
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

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Benefits

Hours and flexibility

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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