Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...
Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...
Evaluate and integrate emerging AI technologies (LLMs, agent frameworks, RAG patterns, fine-tuning ... Strong software engineering fundamentals with significant experience building and shipping ...
Evaluate and integrate emerging AI technologies (LLMs, agent frameworks, RAG patterns, fine-tuning ... Strong software engineering fundamentals with significant experience building and shipping ...
Sr AI Engineer
Lenexa, KS · On-site +1
$98K - $134K/yr
Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows ... DevOps, CI/CD, and Infrastructure as Code #LI-AK1 Other Requirements: * Regular, reliable ...
Sr AI Engineer
Lenexa, KS · On-site +1
$98K - $134K/yr
Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows ... DevOps, CI/CD, and Infrastructure as Code #LI-AK1 Other Requirements: * Regular, reliable ...
Senior Software Engineer - AI Integration
Overland Park, KS · Remote
$115K - $152K/yr
Own the AI architecture end-to-end: model selection, prompt engineering, RAG pipelines, agent orchestration, and evaluation frameworks * Optimize for cost and performance -- manage token budgets ...
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Senior Software Engineer - AI Integration
Overland Park, KS · Remote
$115K - $152K/yr
Own the AI architecture end-to-end: model selection, prompt engineering, RAG pipelines, agent orchestration, and evaluation frameworks * Optimize for cost and performance -- manage token budgets ...
Lead AI Engineer
Kansas City, KS · On-site
$98K - $130K/yr
Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and ...
Lead AI Engineer
Kansas City, KS · On-site
$98K - $130K/yr
Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and ...
... RAG), and sophisticated AI agentic systems at Exabyte scale. * Drive the adoption and deployment of ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...
... RAG), and sophisticated AI agentic systems at Exabyte scale. * Drive the adoption and deployment of ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...
Senior Software Engineer - Generative AI Innovation
Overland Park, KS · On-site
$115K - $152K/yr
... Generation (RAG), agentic AI frameworks, document intelligence solutions, workflow automation ... engineering standards, reusable patterns, and best practices for AI solution development. o ...
Senior Software Engineer - Generative AI Innovation
Overland Park, KS · On-site
$115K - $152K/yr
... Generation (RAG), agentic AI frameworks, document intelligence solutions, workflow automation ... engineering standards, reusable patterns, and best practices for AI solution development. o ...
AI Architect
Wichita, KS · On-site
$56.25 - $74.25/hr
... engineering, retrieval-augmented generation (RAG), embeddings, and vector stores • Proven experience communicating AI and technology concepts in both execution detail and broad terms to a variety ...
AI Architect
Wichita, KS · On-site
$56.25 - $74.25/hr
... engineering, retrieval-augmented generation (RAG), embeddings, and vector stores • Proven experience communicating AI and technology concepts in both execution detail and broad terms to a variety ...
Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...
Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...
Senior Analyst, Finance Data and AI
Wichita, KS · On-site
$76K - $95K/yr
Job Summary : Koch Engineered Solutions is hiring a Senior Analyst, Finance Data and AI. In this ... with LLM-based agents, RAG patterns, or semantic layers over enterprise data • Experience ...
Senior Analyst, Finance Data and AI
Wichita, KS · On-site
$76K - $95K/yr
Job Summary : Koch Engineered Solutions is hiring a Senior Analyst, Finance Data and AI. In this ... with LLM-based agents, RAG patterns, or semantic layers over enterprise data • Experience ...
$98K - $134K/yr
... scalable, developer-friendly solutions. Key Responsibilities * Design and implement secure ... Experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI ...
$98K - $134K/yr
... scalable, developer-friendly solutions. Key Responsibilities * Design and implement secure ... Experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI ...
An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI ... A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI ... A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
Software Engineer
Overland Park, KS · Remote
This role will also champion modern development practices and utilize Azure DevOps for agile ... Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ...
Software Engineer
Overland Park, KS · Remote
This role will also champion modern development practices and utilize Azure DevOps for agile ... Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ...
Software Engineer
Kansas City, KS · Remote
This role will also champion modern development practices and utilize Azure DevOps for agile ... Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ...
Software Engineer
Kansas City, KS · Remote
This role will also champion modern development practices and utilize Azure DevOps for agile ... Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ...
Senior Director, Data Engineering
$93K - $126K/yr
... store, vector store, RAG retrieval infrastructure, evaluation tooling, and model/agent ... A passion for data quality, systems design, and developer experience, coupled with curiosity about ...
Senior Director, Data Engineering
$93K - $126K/yr
... store, vector store, RAG retrieval infrastructure, evaluation tooling, and model/agent ... A passion for data quality, systems design, and developer experience, coupled with curiosity about ...
Senior Automation Engineer
$102K - $134K/yr
Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures * Strong security mindset with expertise in AI threat ...
Senior Automation Engineer
$102K - $134K/yr
Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures * Strong security mindset with expertise in AI threat ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Pittsburg, KS · On-site
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Pittsburg, KS · On-site
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current ...
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current ...
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current ...
Data & AI Engineer
Lawrence, KS · On-site
$108K - $129K/yr
... RAG) . * Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search ... engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML tools or ...
Data & AI Engineer
Lawrence, KS · On-site
$108K - $129K/yr
... RAG) . * Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search ... engineering, analytics, or scripting-heavy roles . * 2+ years working with AI/ML tools or ...
Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application * Strong writing skills: you can take ...
Demonstrated experience using AI tools (LLMs, prompt engineering, or RAG systems) to improve knowledge work - not just awareness, but hands-on application * Strong writing skills: you can take ...
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?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved 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 Kansas? For Rag Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Kansas look for? The top searched job categories for Rag Developer jobs in Kansas are:
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
58th 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: