GenAI Context Engineer
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Quick apply
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Quick apply
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Quick apply
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Quick apply
Pittsburgh, PA · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Philadelphia, PA · On-site
$80 - $150/hr
Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines. * Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage ...
Quick apply
Philadelphia, PA · On-site
$80 - $150/hr
Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines. * Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage ...
Malvern, PA · On-site
$49.25 - $68/hr
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:
Malvern, PA · On-site
$49.25 - $68/hr
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
Quick apply
Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java * Experience integrating LLMs or AI services into enterprise applications
West Mifflin, PA · On-site
$120K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
West Mifflin, PA · On-site
$120K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
$128K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
$128K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
Quick apply
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
Quick apply
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
West Mifflin, PA · On-site
$120K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
West Mifflin, PA · On-site
$120K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
Quick apply
Pittsburgh, PA · On-site
$61.25 - $80.50/hr
... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...
West Mifflin, PA · On-site
$128K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
West Mifflin, PA · On-site
$128K - $145K/yr
This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...
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 Pennsylvania are:
For Retrieval Augmented Generation jobs in Pennsylvania, the most frequently searched job titles are:
The top searched job categories for Retrieval Augmented Generation jobs in Pennsylvania are:
Cities in Pennsylvania with the most Retrieval Augmented Generation job openings:

Job Title: GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible for designing, building, and optimizing the enterprise knowledge and retrieval foundation that powers Generative AI applications. This role focuses on enabling high quality, grounded, and context aware AI experiences through Retrieval Augmented Generation (RAG), semantic search, metadata engineering, and enterprise knowledge orchestration. The Context Engineer ensures AI systems retrieve the right information, from the right sources, at the right time — securely, accurately, and in alignment with enterprise governance standards. Future duties and responsibilities
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