Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems. * Stay constantly updated on the rapidly ...
Quick apply
Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems. * Stay constantly updated on the rapidly ...
Quick apply
Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems. * Stay constantly updated on the rapidly ...
Raleigh, NC · On-site +1
$48.75 - $63/hr
Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows. * Experience designing data schemas, taxonomies, ontologies, or metadata ...
Raleigh, NC · On-site +1
$48.75 - $63/hr
Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows. * Experience designing data schemas, taxonomies, ontologies, or metadata ...
Raleigh, NC · On-site
$48.75 - $63/hr
Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows. * Experience designing data schemas, taxonomies, ontologies, or metadata ...
Raleigh, NC · On-site
$48.75 - $63/hr
Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows. * Experience designing data schemas, taxonomies, ontologies, or metadata ...
Raleigh, NC · On-site +1
Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
Raleigh, NC · On-site +1
Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
Raleigh, NC · On-site
RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...
Raleigh, NC · On-site
RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...
Raleigh, NC · On-site
$119K - $157K/yr
Retrieval-Augmented Generation: Design and build RAG architectures for document understanding, classification, and extraction -- from chunking and indexing through retrieval quality and grounding.
Quick apply
Raleigh, NC · On-site
$119K - $157K/yr
Retrieval-Augmented Generation: Design and build RAG architectures for document understanding, classification, and extraction -- from chunking and indexing through retrieval quality and grounding.
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · Hybrid
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · Hybrid
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · Hybrid
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · Hybrid
$118K - $219K/yr
Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence
Raleigh, NC · On-site
$125K - $209K/yr
About the Role As a Senior Data Scientist II , you will design and improve Generative AI, Retrieval-Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use ...
Raleigh, NC · On-site
$125K - $209K/yr
About the Role As a Senior Data Scientist II , you will design and improve Generative AI, Retrieval-Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use ...
Raleigh, NC · On-site
$125K - $209K/yr
About the Role As a Senior Data Scientist II , you will design and improve Generative AI, Retrieval-Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use ...
Raleigh, NC · On-site
$125K - $209K/yr
About the Role As a Senior Data Scientist II , you will design and improve Generative AI, Retrieval-Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
Raleigh, NC · On-site
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
$136K - $252K/yr
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...
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 ...
Raleigh, NC · On-site
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
Raleigh, NC · On-site
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
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.
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.
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.

Full-time
Medical, Dental, Vision, PTO
Posted 7 days ago
Who We Are:
Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!
At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband
What We Are Looking For:
Bandwidth's Research & Development (R&D) team is at the forefront of exploring and harnessing transformative technologies to define the next generation of communication experiences. We operate as a small, agile, and T-shaped group, diving deep into emerging areas like Artificial Intelligence and Machine Learning. We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters.
You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas and prototypes. You have a startup mentality, comfortable with ambiguity and driven by a relentless curiosity to explore, build, and learn. If you're passionate about applying cutting-edge AI/ML, especially Large Language Models (LLMs), to solve real-world problems and shape future products, this is the role for you. This position requires working full-time from our Raleigh office.
What You'll Do:
What You Need:
Bonus Points:
The Whole Person Promise:
At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…
Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.
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Software development
1,001 - 5,000 Employees
Raleigh, NC, US
1999