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Rag Developer Jobs in Missouri (NOW HIRING)

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... Build production-grade RAG and Graph-RAG systems integrating vector databases (Pinecone, pgvector ...

ASCENSUS

Senior Software Engineer

Kansas City, MO

$119K - $157K/yr

Retrieval-augmented generation, or RAG, pipelines * Agent workflows and orchestration * Prompt ... Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud tools * Salesforce or other ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... RAG and Graph-RAG systems integrating vector databases (Pinecone, pgvector, OpenSearch) and ...

Perficient

Senior AWS Agentic AI Engineer

Saint Louis, MO · On-site

$51.75 - $66.75/hr

Develop RAG (Retrieval-Augmented Generation) solutions integrating enterprise knowledge sources ... Java, JavaScript/TypeScript, and SQL are a plus. * DevOps/MLOps: Terraform, CloudFormation, GitHub ...

New

US Bank

Lead AI/ML Solutions Engineer

Earth City, MO · On-site

$97K - $128K/yr

Help development teams implement solutions using LLMs, RAG, agent frameworks, and modern AI capabilities * Collaborate with platform engineering teams to leverage approved enterprise AI technologies ...

1 point system

AI Security Engineer

O Fallon, MO · On-site

RAG, MCP, Agentic systems (design → production) * Security architecture & engineering : Proven track record designing scalable, resilient solutions * Offensive AI security : LLM penetration testing ...

Walmart

(USA) Senior, Software Engineer

Anderson, MO · On-site

$90K - $180K/yr

Jenkins, GitHub, Azure DevOps. * Solid understanding of data warehousing , ETL processes , and data modeling . * Practical experience with LangChain , LangGraph , RAG architectures , and Agentic AI ...

Walmart

(USA) Senior, Software Engineer

Noel, MO · On-site

$90K - $180K/yr

Jenkins, GitHub, Azure DevOps. * Solid understanding of data warehousing , ETL processes , and data modeling . * Practical experience with LangChain , LangGraph , RAG architectures , and Agentic AI ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What are popular job titles related to Rag Developer jobs in Missouri? For Rag Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Missouri look for? The top searched job categories for Rag Developer jobs in Missouri are:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Missouri as of July 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Manager - GenAI Full Stack Developer

Deloitte

Saint Louis, MO • On-site

Other

Re-posted 21 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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