Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Role Overview An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Some are conventional web applications with discrete AI integrations; others are built around retrieval-augmented generation, multi-agent orchestration, or similar applied AI architectures. You will ...
Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems Reusable Patterns:
Define end-to-end architectures for complex Gen AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, multimodal models, and autonomous multi-agent systems Reusable Patterns:
You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and ...
You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and ...
Smart assistants Automated decision-making flows Document processing / summarization systems Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool chaining AI Tools ...
Smart assistants Automated decision-making flows Document processing / summarization systems Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool chaining AI Tools ...
Architect a high-throughput Retrieval-Augmented Generation (RAG) pipeline that ingests streaming telemetry, PCAP files, and syslog data into Vector Databases for real-time agent context. • Network ...
Architect a high-throughput Retrieval-Augmented Generation (RAG) pipeline that ingests streaming telemetry, PCAP files, and syslog data into Vector Databases for real-time agent context. • Network ...
Preferred qualifications, capabilities, and skills • Familiarity with the financial services industries. • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation ...
Preferred qualifications, capabilities, and skills • Familiarity with the financial services industries. • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation ...
... retrieval-augmented generation (RAG), and context management. Solution Development • Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services. • ...
... retrieval-augmented generation (RAG), and context management. Solution Development • Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services. • ...
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
... Retrieval-Augmented Generation (RAG) architectures • Build AI agents and multi-agent workflows for enterprise use cases • Design enterprise knowledge retrieval and semantic search solutions • ...
... Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs. • Strong understanding of prompt engineering, fine ...
... Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs. • Strong understanding of prompt engineering, fine ...
Software Engineer
Juno Beach, FL · On-site
S. without sponsorship Preferred Skills - Experience with large language models (LLMs) - Familiarity with AI application frameworks and retrieval-augmented generation (RAG) - Background in AWS cloud ...
Software Engineer
Juno Beach, FL · On-site
S. without sponsorship Preferred Skills - Experience with large language models (LLMs) - Familiarity with AI application frameworks and retrieval-augmented generation (RAG) - Background in AWS cloud ...
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Exposure to vector databases , embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.
Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
Quick apply
Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.
Juno Beach, FL · On-site
Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation. * Fine-tune and evaluate generative AI models for quantitative and text ...
... Retrieval-Augmented Generation (RAG) Agentic AI Workflows Distributed Systems Software Architecture Cloud Security & Governance Summary - AI-accelerated Full Stack Engineer with expertise in Angular ...
... Retrieval-Augmented Generation (RAG) Agentic AI Workflows Distributed Systems Software Architecture Cloud Security & Governance Summary - AI-accelerated Full Stack Engineer with expertise in Angular ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
Quick apply
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
Retrieval Augmented Generation information
What does a retrieval augmented generation engineer do?
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?
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 skills and qualifications are needed for retrieval augmented generation?
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.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Florida? The most popular types of Retrieval Augmented Generation jobs in Florida are:
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HNTB rating
9.2
Based on 22 frontline employees who took The Breakroom Quiz
Job description
What We're Looking For
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
What You'll Do:
What You'll Need:
What You'll Bring:
What We Prefer:
Additional Information
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
#AJ #DigitalInfrastructureSolutions #LI-AJ
Locations:
Tallahassee, FL
NOTICE TO THIRD-PARTY AGENCIES:
HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
What You'll Do:
- Leads and manages data science teams and enterprise analytics projects.
- Defines data science strategy, technical roadmap, and project priorities.
- Oversees team performance, development planning, and succession management.
- Ensures delivery of scalable, secure, and ethical data science solutions.
- Collaborates with business and technical leaders to align analytics with strategic goals.
- Fosters a culture of innovation, collaboration, and continuous learning.
- Supports recruitment, onboarding, and team growth.
- Performs other duties as assigned.
What You'll Need:
- Bachelor's degree in data science, statistics, computer science, computer engineering, or information systems and 7 years of relevant experience, or
- Master's degree in data science, statistics, computer science, computer engineering, or information systems and 6 years of relevant experience, or
- In lieu of education, 11 years of relevant experience
What You'll Bring:
- Demonstrated success in leading data science teams and enterprise programs.
- Strong project management and stakeholder engagement skills.
- Experience with budgeting, resource planning, and team operations.
- Strong leadership and communication skills.
- Experience with programming languages such as Python, R, or SQL.
- Experience with big data technologies such as Hadoop or Spark.
- Experience with machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with distributed computing tools such as MapReduce or Spark.
What We Prefer:
- Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Information Systems, Statistics, or a related technical field.
- Certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud AI services, MLOps, or other related technologies.
- Certifications in project management, agile delivery, product management, or management practices.
- Experience developing, evaluating, or integrating generative AI, large language models, retrieval-augmented generation, AI agents, natural language processing, computer vision, or predictive analytics solutions.
- Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment, and responsible AI practices.
- Experience translating business or client needs into AI use cases, technical requirements, evaluation criteria, and implementation plans.
- Experience with programming languages and technical tools such as Python, R, SQL, APIs, notebooks, version control, or cloud-based AI services.
- Experience supporting AI use cases for transportation, infrastructure, engineering, consulting, or public-sector clients.
Additional Information
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
#AJ #DigitalInfrastructureSolutions #LI-AJ
Locations:
Tallahassee, FL
NOTICE TO THIRD-PARTY AGENCIES:
HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.
About HNTB
Sourced by ZipRecruiter
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
Industry
Construction
Company size
1,001 - 5,000 Employees
Headquarters location
Kansas City, MO, US
Year founded
1914