1

Retrieval Augmented Generation Rag Jobs in Dallas, TX

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) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

You will play a key role in building scalable systems that leverage retrieval-augmented generation (RAG), conversational AI, and cloud-native architectures . Minimum Qualifications * 10+ years of ...

Data Engineer- Manager

Dallas, TX · On-site

$113K - $136K/yr

... Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across ...

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks. * Design and ...

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...

Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases. * Develop scalable data ingestion, transformation, and preprocessing pipelines to ...

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have ...

Showing results 21-40

Retrieval Augmented Generation Rag information

See Dallas, TX salary details

$14

$20

$26

How much do retrieval augmented generation rag jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for retrieval augmented generation rag in Dallas, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.91 per hour, depending on experience, location, and employer.
What are popular job titles related to Retrieval Augmented Generation Rag jobs in Dallas, TX? For Retrieval Augmented Generation Rag jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation Rag jobs in Dallas, TX look for? The top searched job categories for Retrieval Augmented Generation Rag jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Retrieval Augmented Generation Rag jobs? Cities near Dallas, TX with the most Retrieval Augmented Generation Rag job openings:
Infographic showing various Retrieval Augmented Generation Rag job openings in Dallas, TX as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $41,666 per year, or $20 per hour.

Python Developer with ML - Dallas, TX

Photon

Dallas, TX • On-site

$49.75 - $68.50/hr

Full-time

Re-posted 7 days ago


Job description

We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.
 

Key Responsibilities:
Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
Build, train, and deploy robust machine learning and deep learning models using Python and popular frameworks (e.g., PyTorch, TensorFlow).
Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
Implement best practices in software engineering: OOP, design patterns, modular architecture.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and indexing data from various sources (e.g., PDFs, HTML, databases).
Develop APIs and SDKs for framework adoption across teams.
Utilize vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities.
Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
Ensure security, reliability, and observability of framework components.
Write unit/integration tests and maintain CI/CD pipelines.
Document frameworks, APIs, and libraries for developer adoption.
Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
 

Required Skills & Experience:
Strong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular design.
Proven experience in building frameworks, libraries, or SDKs (not just applications).
Advanced proficiency in Python for ML and software development.
Expertise in design patterns, dependency injection, and plugin-based architectures.
Solid understanding of ML algorithms, model evaluation techniques, and MLOps practices.
Experience developing with Large Language Models (LLMs) and advanced Prompt Engineering techniques.
Experience with FastAPI, Flask, Django or similar web frameworks.
Solid understanding of APIs (REST, GraphQL) and API gateway integration.
Knowledge of async programming (asyncio, aiohttp).
Hands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems.
Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
Strong grasp of security practices (OAuth2, JWT, IAM integration).
Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.
Familiarity with vector databases for efficient similarity search
 

Nice to Have:
Experience with Agentic AI frameworks (OpenAI SDK, LangChain, LlamaIndex, Google ADK, AutoGen).
Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
Contributions to open-source Python frameworks or libraries.
 

Ideal Candidate:
A framework builder mindset - you enjoy designing systems other developers will use.
Passionate about AI and automation, eager to experiment with agent-driven architectures.
A problem-solver with a strong understanding of scalable and secure design principles.
Excellent communicator with strong documentation and collaboration skills.
 

Qualifications
Bachelor's/Master's degree in Computer Science, Engineering, or related field.
Strong track record of building scalable frameworks or platforms in production environments.