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Rag Developer Jobs in Kentucky (NOW HIRING)

$180 - $260/hr

Generative AI applications RAG (Retrieval-Augmented Generation) platforms Conversational AI and ... Establish best practices and standards for LLMOps, AI governance, prompt engineering, model ...

$110 - $170/hr

The AI Developer is a foundational member of Diamondback Energy's new AI team, responsible for ... RAG), and multi-step reasoning * Build evaluation harnesses and testing frameworks to measure model ...

$140 - $210/hr

Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs ... Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.

$120 - $180/hr

Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs ... Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.

$148 - $180/hr

Overview Senior Software Developer Springfield, VA Active TS (SCI eligibility) clearance and ... RAG), Large Language Models (LLMs), and LLM-enabled workflows. * Experience designing, deploying ...

New

$75 - $85/hr

This role supports the engineering, deployment, and operation of internal AI applications built on ... Implement and extend Retrieval-Augmented Generation (RAG) and AI orchestration workflows using ...

$122 - $200/hr

Design RAG solutions using enterprise content, vector search, and knowledge graphs, and define reference architectures and guardrails for Copilot‑based coding, testing, and automation. Engineering ...

New

$120 - $165/hr

You'll work closely with Engineering, QA, and DevOps to develop intelligent tools, automate ... Experience with RAG, vector databases, or AI knowledge management technologies is preferred. * Hea ...

$137 - $209/hr

Staff Forward Deployed AI Solutions Engineer Direct vibe-coding role -- building and running LLM-powered agents, integrations, RAG, and evals in production. About the Role Lead the design, build ...

New

$185 - $325/hr

RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration, so the organization ... developer tools, and modern data architectures, and turn them into capabilities that make our Data ...

$69 - $162/hr

Design, develop, and optimize RAG (Retrieval-Augmented Generation) solutions. * Implement ... Prompt Engineering * Retrieval-Augmented Generation (RAG) Vector Databases & Embeddings * API ...

New

$120 - $160/hr

Hybrid | Job Code: 244554 AEM Developer Overview / Summary We are seeking a skilled AEM Developer ... Experience with Elasticsearch and Retrieval-Augmented Generation (RAG)-based search models.

$96 - $110/hr

Collaborate with AI/ML and application engineers to productionize models, ML pipelines, LLM/RAG solutions, and other AI-driven services * Build and maintain infrastructure automation using Terraform ...

$140 - $170/hr

Develop robust AI Agents, APIs, microservices, and RAG pipelines to support various applications and services. * Collaborate closely with business partners, architects, and other engineering teams to ...

New

$140 - $180/hr

... RAG architectures, embeddings platforms, and vector store platforms. You won't be building the ... DevOps, or Infrastructure-focused role. * Proficient in Python; working knowledge of Golang a plus.

$120 - $180/hr

Strong programming background in Python (preferred) or C#. * Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.). * Solid understanding of RAG architecture and vector ...

$135 - $189/hr

AI Engineer II - Blue Ring Develop AI agents and telemetry pipelines to support fleet-wide ... In this role, you will help build agent tooling, maintain RAG knowledge pipelines, develop ...

$120 - $180/hr

Implement complex RAG pipelines andoptimizetrade-offs between massive-context hydration and multi ... Experience with prompt engineering, RAG pipelines, or agentic workflows * Familiarity with ...

$105 - $182/hr

... and DevOps pipelines. Key responsibilities * Design and review secure architectures for AI/ML platforms, LLM applications, RAG pipelines, model-serving environments, and agentic AI workflows.

Showing results 41-60

Rag Developer information

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 are popular job titles related to Rag Developer jobs in Kentucky?

For Rag Developer jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Rag Developer jobs?

Cities in Kentucky with the most Rag Developer job openings:

Infographic showing various Rag Developer job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Lead Software Engineer, Data Scientist

SEI Corporation

On-site

$180 - $260/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Key responsibilities

  • Lead the design, development, and deployment of enterprise-scale AI solutions including Generative AI applications, RAG platforms, conversational AI, AI copilots, multi-agent systems, and knowledge discovery solutions.

  • Define and execute SEI's AI strategy, establish best practices and standards for AI governance, safety, and responsible AI, and evaluate emerging AI technologies for strategic fit.

  • Partner with stakeholders to identify AI opportunities, translate business challenges into AI solutions, and communicate technical insights to leadership.


Job description

SEI is seeking an accomplished and visionary Lead Data Scientist, Generative AI & Intelligent Systems to lead the next generation of AI innovation across the enterprise. This leader will define and execute SEI's AI strategy spanning traditional machine learning, Generative AI, Agentic AI, intelligent automation, and AI-powered digital experiences. The role will drive the design, development, and deployment of scalable AI solutions including enterprise copilots, RAG-based knowledge systems, AI agents, intelligent workflow automation, and advanced predictive analytics. Working closely with business leaders, product teams, architects, cybersecurity, and engineering teams, this individual will transform emerging AI capabilities into practical business solutions while establishing scalable frameworks, governance standards, and AI best practices across the organization.

What You Will Do

Define and drive SEI's AI strategy across Machine Learning, Generative AI, Agentic AI, and Intelligent Automation initiatives. Lead the design and delivery of enterprise-scale AI solutions including: Generative AI applications RAG (Retrieval-Augmented Generation) platforms Conversational AI and enterprise chatbots AI copilots and virtual assistants Multi-agent and agentic AI systems Knowledge discovery and search solutions Architect AI systems that integrate Large Language Models (LLMs), enterprise knowledge repositories, APIs, and business workflows while ensuring scalability, security, and governance. Evaluate emerging AI technologies, foundation models, frameworks, orchestration platforms, and agentic architectures to determine strategic fit for SEI. Lead AI product development from ideation through deployment, including experimentation, prototyping, productionization, monitoring, and continuous improvement. Establish best practices and standards for LLMOps, AI governance, prompt engineering, model evaluation, AI safety, observability, and responsible AI. Partner with business stakeholders to identify high-value AI opportunities and translate business challenges into innovative AI-powered solutions. Design and oversee RAG pipelines, vector databases, semantic search architectures, and knowledge management solutions. Guide the development of AI-enabled products leveraging structured and unstructured data sources. Collaborate with security, privacy, legal, and risk teams to ensure AI solutions meet regulatory, governance, and compliance requirements. Mentor and develop data scientists, AI engineers, architects, and technical leaders while fostering a culture of innovation, experimentation, and continuous learning. Communicate AI strategy, solution architectures, business value, and technical insights to executive leadership and non-technical stakeholders.

What We Need From You

Bachelor's degree from an accredited college or university and/or equivalent relevant experience. MS, MBA, PhD, or CFA designation is a plus. 10+ years of experience in Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines. Demonstrated experience delivering enterprise-scale Generative AI and Machine Learning solutions from concept through production. Deep expertise in Large Language Models (LLMs), Generative AI architectures, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks. Strong experience designing AI applications using technologies such as Azure AI, OpenAI, Anthropic, LangChain, Semantic Kernel, AutoGen, CrewAI, MCP, vector databases, and related AI ecosystems. Strong understanding of Agentic AI patterns including planning, orchestration, memory, tool use, workflow automation, and multi-agent systems. Experience implementing AI governance, model evaluation, AI observability, security controls, and responsible AI frameworks. Strong cloud expertise in Azure, AWS, or GCP, including AI platform services and production deployment architectures. Advanced Python development skills and experience building scalable AI applications and APIs. Experience working with structured and unstructured data, knowledge repositories, search platforms, and document intelligence solutions. Proven ability to balance innovation with governance, risk management, security, and operational excellence.

What We Would Like From You

Demonstrated thought leadership in Artificial Intelligence, Generative AI, Agentic AI, or related emerging technologies. Experience defining enterprise AI roadmaps, operating models, governance structures, and adoption strategies. Strong understanding of financial services, wealth management, or regulated industry environments. Exceptional communication and executive presentation skills with the ability to influence senior leadership and stakeholders. Proven ability to lead cross-functional teams consisting of AI engineers, data scientists, architects, product managers, cybersecurity professionals, and business leaders. Experience evaluating third-party AI platforms, vendors, and strategic partnerships. Strong product mindset with an ability to translate complex business challenges into scalable AI products and capabilities. Excellent analytical, problem-solving, and strategic decision-making skills.

SEI’s competitive advantage

To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, a strong retirement plan, tuition reimbursement, support for working parents and flexible Paid Time Off (PTO) so you can relax, recharge and be there for the people you care about.

  • comprehensive care for your physical and mental well-being
  • a strong retirement plan
  • tuition reimbursement
  • support for working parents and flexible Paid Time Off (PTO)
  • healthcare (medical, dental, vision, prescription, wellness, EAP, FSA)
  • life and disability insurance (premiums paid for base coverage)
  • 401(k) match
  • education assistance
  • commuter benefits
  • up to 11 paid holidays/year
  • 21 days PTO/year pro-rated for new hires which increases over time
  • paid parental leave
  • back-up childcare arrangements
  • paid volunteer days
  • a discounted stock purchase plan
  • investment options
  • access to thriving employee networks and more

We are a technology and asset management company delivering on our promise of building brave futures (SM)—for our clients, our communities, and ourselves. Come build your brave future at SEI.

The position title reflected in this job description is aligned with SEI's current internal job architecture. As part of SEI's role and career framework, internal job titles may not directly correspond to external market titles and may differ from titles previously assigned during an employee's tenure or at the time of hire.

SEI is an Equal Opportunity Employer and so much more…

After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions.

Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success.

We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.

SEI is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

AI Acceptable Use in the application and interview process

SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines. We are global provider of technology, operations, and asset management services for the financial services industry. We tailor our solutions to help clients make effective use of their capital—whether that’s money, time, or talent—so they can grow and better serve their clients.

At SEI, we’re committed to fostering an inclusive workplace where everyone has the same opportunities to grow, develop, and succeed.

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