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Rag Developer Jobs in Venus, TX (NOW HIRING)

Build retrieval-augmented generation (RAG) solutions. * Support prompt engineering and AI workflow automation. * Develop integrations between AI services and enterprise systems. DevOps & Quality

Senior Lead AI Developer Position Overview The Finance Technology AI Enablement team is seeking a ... Build high-performing, complex semantic layers using advanced technologies such as RAG, Knowledge ...

New

Senior AI Developer (Palantir AI Platform)

Irving, TX · On-site

$116K - $157K/yr

... Using RAG / Prompt Engineering / AI Agents / Copilots While Designing Production AI Pipelines Supporting CI/CD / Deployment / Monitoring / Drift Detection / Lifecycle Management MS AI Ecosystem ...

Agentic AI Developer

Irving, TX · On-site

$55 - $60/hr

This is an Agentic AI Developer role based in Irving, TX or Alpharetta, GA (100% Onsite) . The ... Vector Databases & RAG Hands-on experience with Pinecone, Qdrant, Milvus, Weaviate, or Chroma.

Prompt Engineering, RAG, Agent-based workflows / tool usage, Multi-agent architectures & MCP (Model Context Protocol) servers and integrations By providing your phone number, you consent to: (1) ...

Develop andmaintainRetrieval-Augmented Generation (RAG)architecturesusing vector databases and ... Collaborate with product managers, engineers, and business stakeholders toidentifyopportunities for ...

AI Engineer

Irving, TX · On-site

$120K - $130K/yr

RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring, governance, explainability ...

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground ... DevOps tools (GIT/Stash, Fortify, Jenkins, etc) DESIRED SKILLS: Working knowledge Java, Spring ...

Full Stack Engineer

Fort Worth, TX · On-site

$120 - $160/hr

You'll join a small, fast‑moving team building agentic AI systems, RAG pipelines, and ... We need someone who's been an early‑stage engineer at a startup that scaled and has gone deep on ...

Showing results 21-40

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 cities near Venus, TX are hiring for Rag Developer jobs?

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

Senior Software Developer(Full Stack) .Net with AI focus- Hybrid 3 days

Simple Solutions

Dallas, TX • Hybrid

$65 - $78/hr

Contractor

Posted 5 days ago


Job description

Senior Software Developer(Full Stack) .Net , C# & AI focus - Hybrid 3 days

  • Job Title: Senior Software Engineer - AI
  • Duration: 6 months Contract-to-hire
  • Location: Hybrid Onsite Coppell, TX
  • USC and GC 

 

We are seeking a highly skilled and forward-thinking Senior Software Engineer with over 9+ years of experience in designing and developing enterprise-grade solutions using .NET and C#, and at least 1-2 years of hands-on experience building AI solutions and intelligent agents on the Microsoft platform. The ideal candidate will be passionate about leveraging Prompt EngineeringContext Engineering, RAG, Vectorization & Indexing, and modern AI techniques to drive innovation and efficiency across our technology stack.

 

Key Responsibilities

  • Design, develop, and maintain scalable .NET/C# applications and services.
  • Design and implement AI-powered solutions using Microsoft Azure AI services, including Azure OpenAI, Azure AI Foundry, Cognitive Services and Microsoft Agent Framework.
  • Build and deploy intelligent agents that integrate with enterprise systems and workflows.
  • Apply prompt engineering and context engineering to optimize agent behavior and model outputs.
  • Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and responsiveness.
  • Leverage tool use orchestration and action planning to enable agents to interact with external systems and APIs.
  • Implement memory management strategies for agents (episodic, semantic, and working memory).
  • Use state managementgoal tracking, and feedback loops to support autonomous decision-making.
  • Evaluate and verify AI agents using various techniques and tools.
  • Collaborate with cross-functional teams including product managers, data scientists, and DevOps to deliver high-impact solutions.
  • Conduct code reviews, mentor junior engineers, and contribute to best practices in software development and AI integration.
  • Stay current with emerging technologies and trends in AI, machine learning, and software engineering.

 

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 9+ years of experience in software development using .NET and C#.
  • 1+ years of experience developing AI solutions and agents using Microsoft technologies.
  • Strong understanding of prompt engineering, context engineering, and LLM-based architectures.
  • Experience with RESTful APIs, microservices, and cloud-native development.
  • Familiarity with CI/CD pipelines, Git, and agile methodologies.
  • Excellent problem-solving, communication, and collaboration skills.

 

Preferred Qualifications

  • Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernal Framework, AutoGen, Lang Graph, Machine Learning, or other Microsoft AI platforms.
  • Knowledge of NLP, generative AI, and conversational agent design.
  • Certifications in Microsoft Azure or AI-related technologies.
  • Contributions to open-source projects or technical blogs.