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Rag Developer Jobs in Spring, TX (NOW HIRING)

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

... generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ... Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub ...

ClearpointCo.

AI Engineer

Houston, TX · On-site

$120 - $125/hr

AI Engineer Location: Houston, Texas Type: Direct Hire Salary: $120,000 - $125,000 Summary: The AI ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks ... Establish prompt engineering and data management best practices for transparency and governance.

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks ... Establish prompt engineering and data management best practices for transparency and governance.

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks ... Establish prompt engineering and data management best practices for transparency and governance.

Vallen

AI Platform Engineer

Houston, TX · On-site +1

Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards * Define and enforce prompt engineering standards and LLM ...

The Avian Consulting LLC

AI Architect

Houston, TX · On-site

Generative AI (LLMs, prompt engineering, RAG) * Machine learning model development and deployment * NLP, predictive analytics * MLOps and model lifecycle management * Hands on experience in Azure AI ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

Exponent Inc.

Senior AI Engineer (Ph.D. required)

Houston, TX · On-site

$101K - $139K/yr

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth ... Building generative AI applications, including retrieval-augmented generation (RAG) systems, LLM ...

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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 Spring, TX?

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

What cities near Spring, TX are hiring for Rag Developer jobs?

Cities near Spring, TX with the most Rag Developer job openings:

Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Spring, TX as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

AI Engineer II

Kirkland & Ellis LLP.

Houston, TX • On-site

$116K - $144K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you passionate about building scalable, real-world AI solutions that transform how professionals work? As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT) teams. Reporting to the AI Engineering Lead, you'll take ownership of the full AI solution lifecycle-from architecture and deployment to evaluation and continuous improvement-while collaborating closely with cross-functional stakeholders.
In this role, you'll combine technical depth with practical impact, helping deliver secure, production-ready solutions while also mentoring junior engineers and contributing to the evolution of AI capabilities across the organization.
  • Solution Architecture: Design scalable, secure AI architecture and translate business needs into actionable technical solutions and implementation plans.
  • AI Development & Deployment: Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments.
  • Quality & Evaluation: Create and manage evaluation frameworks including regression testing, benchmark datasets, and human-in-the-loop validation to ensure high-quality outputs.
  • Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes.
  • Automation & Efficiency: Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub Actions, Python, and PowerShell.
  • Security & Responsible AI: Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI) guidelines while complying with regulatory expectations.
  • Collaboration & Mentorship: Partner with engineers, architects, and stakeholders across teams while mentoring junior team members and contributing to knowledge sharing.

What You'll Bring
  • Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
  • Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of delivering solutions end-to-end.
  • Programming & AI Development: Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions.
  • Cloud & Platform Expertise: Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS).
  • Engineering Practices: Familiarity with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tools (Terraform or Bicep), and modern API/integration patterns.
  • Evaluation & Optimization: Understanding of AI evaluation techniques, including prompt testing, benchmarking, and performance tuning.
  • Technical Versatility: Experience with GPU environments, Linux systems, and frameworks such as LangChain, Semantic Kernel, or Azure Prompt Flow.
  • Collaboration & Mindset: Strong problem-solving skills, a collaborative approach, and a passion for mentoring and continuous improvement.

If you're excited to build impactful AI solutions, collaborate with forward-thinking teams, and drive innovation in this AI Engineer II role, we'd love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-SM1

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