Dallas, TX · On-site
$101K - $134K/yr
Design and implement generative AI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector databases. Build AI agents and workflows capable ...
Dallas, TX · On-site
$101K - $134K/yr
Design and implement generative AI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector databases. Build AI agents and workflows capable ...
Austin, TX · On-site
$96K - $132K/yr
Architect and optimize Retrieval-Augmented Generation (RAG) applications using vector databases. * Implement AI orchestration frameworks including Semantic Kernel, LangChain, AutoGen , or equivalent ...
Austin, TX · On-site
$96K - $132K/yr
Architect and optimize Retrieval-Augmented Generation (RAG) applications using vector databases. * Implement AI orchestration frameworks including Semantic Kernel, LangChain, AutoGen , or equivalent ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...
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.
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.
Irving, TX · On-site
$73K - $174K/yr
Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...
Irving, TX · On-site
$73K - $174K/yr
Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...
Dallas, TX · On-site
$73K - $174K/yr
Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...
Dallas, TX · On-site
$73K - $174K/yr
Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...
RAG (Retrieval Augmented Generation) * Agent-based workflows and tool usage * Multi-agent architectures * Agentic systems including: * Orchestration * Tool chaining * Autonomous decision-driven ...
RAG (Retrieval Augmented Generation) * Agent-based workflows and tool usage * Multi-agent architectures * Agentic systems including: * Orchestration * Tool chaining * Autonomous decision-driven ...
Houston, TX · On-site
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
Houston, TX · On-site
Design agentic AI and retrieval-augmented generation solutions that support opportunity preparation, account research, objection handling, competitive positioning, call planning, follow-up generation ...
This role requires hands?on experience implementing Generative AI capabilities such as Retrieval-Augmented Generation (RAG), knowledge graphs, and AI agents, as well as collaborating with cross ...
This role requires hands?on experience implementing Generative AI capabilities such as Retrieval-Augmented Generation (RAG), knowledge graphs, and AI agents, as well as collaborating with cross ...
Dallas, TX · On-site
Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines using vector databases * Proficient in Knowledge Graph design and implementation - Neo4j, RDF, SPARQL, and graph ...
Dallas, TX · On-site
Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines using vector databases * Proficient in Knowledge Graph design and implementation - Neo4j, RDF, SPARQL, and graph ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Dallas, TX · On-site
$140K - $150K/yr
Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...
Dallas, TX · On-site
$140K - $150K/yr
Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...
Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...
Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...
Austin, TX · On-site
Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow automation solutions, and intelligent assistants * Integrate LLMs such as OpenAI, Claude, Gemini, and ...
Austin, TX · On-site
Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow automation solutions, and intelligent assistants * Integrate LLMs such as OpenAI, Claude, Gemini, and ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Richardson, TX · On-site
$111K - $146K/yr
Retrieval-Augmented Generation (RAG) & Knowledge Systems * Design and optimize vector embedding pipelines, intelligent document chunking strategies, semantic search, and hybrid retrieval ...
Richardson, TX · On-site
$111K - $146K/yr
Retrieval-Augmented Generation (RAG) & Knowledge Systems * Design and optimize vector embedding pipelines, intelligent document chunking strategies, semantic search, and hybrid retrieval ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Dallas, TX · On-site
$103K - $142K/yr
Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...
Dallas, TX · On-site
$140K - $150K/yr
Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...
Dallas, TX · On-site
$140K - $150K/yr
Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...
Dallas, TX · On-site
$95/hr
Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases. * Develop scalable data ingestion, transformation, and preprocessing pipelines to ...
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Dallas, TX · On-site
$95/hr
Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases. * Develop scalable data ingestion, transformation, and preprocessing pipelines to ...
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
The most popular types of Retrieval Augmented Generation jobs in Texas are:
For Retrieval Augmented Generation jobs in Texas, the most frequently searched job titles are:
The top searched job categories for Retrieval Augmented Generation jobs in Texas are:
Cities in Texas with the most Retrieval Augmented Generation job openings:
Position: Tech Lead – AI Engineering
Location: Dallas Texas (Hybrid)
Experince :Min 10+ years
Position Overview
We are seeking an experienced Tech Lead – AI Engineering to lead the design, development, and production deployment of enterprise AI and generative AI solutions. The role requires strong hands-on expertise in Python, AWS, machine learning, large language models, API development, data integration, and event-driven architectures.
The Tech Lead will provide technical direction to AI engineers, data engineers, and software developers while collaborating with Southwest’s architecture, product, cybersecurity, cloud, and data teams. The ideal candidate must have delivered production-grade AI solutions—not only proofs of concept.
Key Responsibilities
Lead the architecture, design, development, and deployment of AI, machine learning, generative AI, and agentic AI solutions.
Translate business use cases into secure, scalable, and production-ready technical solutions.
Develop AI services, orchestration components, and backend applications using Python.
Design and implement generative AI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector databases.
Build AI agents and workflows capable of interacting securely with enterprise applications, APIs, databases, and business processes.
Develop and expose AI capabilities through RESTful APIs and microservices using FastAPI, Flask, or similar frameworks.
Integrate AI services with AWS platforms, Kafka-based event streams, enterprise data sources, and third-party applications.
Design data-ingestion and processing pipelines using AWS services such as S3, Lambda, Glue, ECS/Fargate, EventBridge, and API Gateway.
Establish appropriate model evaluation, monitoring, observability, auditability, and human-in-the-loop controls.
Implement safeguards for hallucination, prompt injection, sensitive-data exposure, bias, and inappropriate model responses.
Define reusable AI engineering standards, reference architectures, coding practices, and integration patterns.
Lead technical discovery, solution estimation, architecture reviews, code reviews, and design discussions.
Guide and mentor AI engineers, data engineers, and application developers.
Partner with cybersecurity and governance teams to ensure compliance with enterprise AI, privacy, and security requirements.
Support CI/CD, infrastructure automation, containerization, testing, production deployment, and incident resolution.
Communicate technical risks, dependencies, trade-offs, and recommendations to engineering and business leadership.
Required Technical Skills
Strong hands-on software-development experience using Python.
Experience leading the delivery of enterprise AI or machine-learning solutions in production.
Strong understanding of generative AI, large language models, prompt engineering, embeddings, retrieval-augmented generation, and AI agents.
Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
Hands-on experience with AWS services, including Lambda, S3, API Gateway, ECS/Fargate, EventBridge, Glue, SQS/SNS, CloudWatch, and IAM.
Experience with Amazon Bedrock, SageMaker, or comparable enterprise AI platforms.
Strong knowledge of REST APIs, microservices, JSON, authentication, authorization, and enterprise application integration.
Experience with Apache Kafka or another event-streaming and messaging platform.
Strong understanding of SQL, data modeling, ETL/ELT pipelines, and relational or NoSQL databases.
Experience with vector databases or vector-search technologies.
Knowledge of OAuth 2.0, JWT, API keys, role-based access control, encryption, and secrets management.
Experience with Docker, Kubernetes or ECS, Git, and automated CI/CD pipelines.
Experience implementing unit, integration, API, model-evaluation, and performance testing.
Strong knowledge of logging, monitoring, tracing, error handling, retry mechanisms, and production support.
Sourced by ZipRecruiter
It services
201 - 500 Employees
Irving, TX, US
2021
