Python Software Engineer
Austin, TX · On-site
Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...
Python Software Engineer
Austin, TX · On-site
Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...
AI Architect
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
AI Architect
Plano, TX · On-site
GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
... models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration, agentic workflows, and model APIs • Evaluate when to use ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
... models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration, agentic workflows, and model APIs • Evaluate when to use ...
IT - Senior Technology Architect
San Antonio, TX · On-site
$129K/yr
Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...
IT - Senior Technology Architect
San Antonio, TX · On-site
$129K/yr
Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...
Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces. * Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related ...
Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces. * Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related ...
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Quick apply
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Quick apply
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
Quick apply
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"
Quick apply
Familiarity with Generative AI and Machine Learning including Retrieval Augmented Generation. Ability to work and deliver independently with minimal guidance. Good communication skills"
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
AI Architect - OT Cybersecurity
Plano, TX · On-site
Design AI-enabled solutions using technologies such as large language models, retrieval-augmented generation, semantic search, embeddings, vector databases, prompt engineering, workflow orchestration ...
Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
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Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
Quick apply
Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
AI Architect
Fort Worth, TX · On-site
It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architectures on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...
AI Architect
Fort Worth, TX · On-site
It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architectures on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...
AI Engineer
Dallas, TX · On-site
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
AI Engineer
Dallas, TX · On-site
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
Software Engineer - Advanced
Plano, TX · On-site
$90 - $95/hr
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 ...
Software Engineer - Advanced
Plano, TX · On-site
$90 - $95/hr
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 ...
GenAI Context Engineer
Dallas, TX · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
GenAI Context Engineer
Dallas, TX · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Retrieval Augmented Generation information
What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?
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.
What is a Retrieval Augmented Generation job?
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.
What are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?
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.
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Other
Posted 7 days ago
Job description
Job Title: Senior Python Software Engineer – SQL & Generative AI Location: Austin, TX - Onsite Role Job Type: Full-Time Job Summary: We are seeking a highly skilled Senior Python Software Engineer with strong expertise in Python development, SQL, and Generative AI (GenAI). The ideal candidate will have a solid software engineering background, experience building scalable applications and APIs, and hands-on experience developing AI-powered solutions using Large Language Models (LLMs). This role requires a strong understanding of modern software development practices, cloud technologies, and data engineering concepts. Key Responsibilities: Design, develop, test, and maintain scalable software applications using Python. Develop high-performance backend services, RESTful APIs, and microservices. Write efficient, optimized SQL queries and design robust database solutions. Build and integrate AI-powered applications using Generative AI technologies. Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers, data engineers, and cross-functional teams to deliver high-quality software. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of professional software engineering experience. Strong hands-on experience with Python development. Advanced SQL skills, including query optimization, stored procedures, and database design. Experience developing REST APIs using frameworks such as FastAPI, Flask, or Django. Experience building scalable backend applications and microservices. Strong understanding of object-oriented programming, software design patterns, and distributed systems. Experience with Git and Agile development methodologies. Required Generative AI Experience Hands-on experience building applications using Generative AI (GenAI). Experience integrating OpenAI, Azure OpenAI, or other LLM platforms. Experience implementing Retrieval-Augmented Generation (RAG) solutions. Knowledge of AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel. Required Technical Skills: Python SQL Software Engineering REST APIs FastAPI / Flask / Django Microservices Generative AI (GenAI) Large Language Models (LLMs) OpenAI / Azure OpenAI Retrieval-Augmented Generation (RAG)