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Rag Developer Jobs in Texas (NOW HIRING)

Photon

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources. Platform Engineering: Develop resilient, high ...

Itron, Inc

AI Developer

Austin, TX · On-site

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ... engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

ClifyX

Senior AI/ML Developer

Irving, TX · On-site

Responsibilities : • Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. • Develop GenAI/LLM solutions, including RAG ...

Charles Schwab

Senior Developer - Quantitative

Southlake, TX · On-site

$51.25 - $67.75/hr

As a Software Engineer, you will be responsible for delivering high quality solutions that meet ... Develop reusable foundational components, such as prompt frameworks and reusable templates, RAG ...

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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.

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

Python developer - Dallas, Tx

Photon

Dallas, TX • On-site

$49.75 - $68.50/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description


The Senior Python Developer will play a key role in designing, developing, and scaling our Agentic AI platform. This role requires deep expertise in Python development, AI-driven application architectures, and cloud-native technologies to build robust, scalable, and production-ready agentic solutions.
You will be responsible for developing backend services, implementing agent orchestration workflows, integrating LLMs and external tools, and building resilient platforms that support enterprise AI use cases.
Key Responsibilities:
Backend Development: Design, develop, and maintain scalable backend services and APIs using Python and modern development frameworks.
Agentic AI Development: Build and support agent orchestration workflows that enable autonomous decision-making, task execution, and multi-step reasoning.
LLM Integration: Develop integrations with LLM providers such as OpenAI, Gemini, Anthropic, and open-source models to power AI-driven applications.
RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources.
Platform Engineering: Develop resilient, high-performance platform services that support secure and scalable AI deployments.
Tool Integration: Create Python-based tools and connectors that enable agents to interact with APIs, databases, enterprise applications, and external services.
Testing & Evaluation: Implement automated testing, evaluation frameworks, and quality controls to ensure reliability and consistency of AI systems.
Performance Optimization: Optimize application performance, latency, scalability, and infrastructure utilization across AI workloads.
Required Skills & Qualifications:
  • 10+ years of experience in software engineering with strong expertise in Python development.
  • Strong experience developing REST APIs, microservices architectures, and event-driven systems.
  • Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Agent Development Kit (ADK).
  • Experience building and supporting RAG-based applications and enterprise AI solutions.
  • Strong knowledge of LangChain, LlamaIndex, LangSmith, and LangFlow.
  • Experience working with LLMs including OpenAI, Gemini, Anthropic, Llama, or similar models.
  • Deep understanding of prompt engineering, function calling, tool integration, agent orchestration, and evaluation techniques.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
  • Strong proficiency in PostgreSQL, MySQL, MongoDB, Redis, and database optimization techniques.
  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native application development.
  • Familiarity with Docker, Kubernetes, and containerized deployment patterns.
  • Experience implementing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI.
  • Experience with monitoring, logging, and observability tools for production systems.

Compensation, Benefits and Duration
Minimum Compensation: USD 39,000
Maximum Compensation: USD 137,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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