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Rag Developer Jobs in Pennsylvania (NOW HIRING)

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI ... Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise ...

System One

GenAI Context Engineer

Pittsburgh, PA · On-site

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI ... Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise ...

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite ... Build and optimize RAG pipelines with agentic orchestration. * Work with vector databases for ...

Emonics LLC

AI/ML Engineer

Philadelphia, PA · On-site

Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and enterprise data ... Develop prompt engineering strategies and evaluate LLM performance. * Work with embeddings, vector ...

New

BeaconFire Inc.

Java Software Engineer

Pittsburgh, PA · On-site

$65K - $80K/yr

About the Role Title- Java Developer (GenAI) BeaconFire is an IT consulting firm. This is a project ... AI Integration: ● Implement RAG pipelines using Spring AI and LangChain4j with vector database ...

MRO Corporation

Principal AI Engineer

Norristown, PA · On-site

$180K - $200K/yr

You will design and build production AI systems -- RAG pipelines, LLM integrations, human-in-the-loop workflows, and model quality frameworks -- while setting the engineering standards other teams ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $105K/yr

RAG * Systems Design and Engineering * Ability to design a fault tolerant production system. * APIs, Agile Nice to Have: * Java, Jira, Microsoft Office * Experience with relational databases * RPA - ...

MRO Corporation

Principal AI Engineer

Norristown, PA · On-site +1

You will design and build production AI systems - RAG pipelines, LLM integrations, human-in-the-loop workflows, and model quality frameworks - while setting the engineering standards other teams ...

MRO Corporation

Principal AI Engineer

Norristown, PA · On-site +1

$180K - $200K/yr

You will design and build production AI systems - RAG pipelines, LLM integrations, human-in-the-loop workflows, and model quality frameworks - while setting the engineering standards other teams ...

YO AI Labs

Mental Health Expert - Remote

Philadelphia, PA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Vangard, Inc.

Senior Cloud & Agentic AI Engineer

Malvern, PA · On-site

$59 - $76.50/hr

... DevOps practices. * Proficiency in Python, Java, or Node.js. * Experience building Generative AI applications using AWS Bedrock, LLMs, prompt engineering, and RAG architectures. * Experience ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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The top searched job categories for Rag Developer jobs in Pennsylvania are:

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Infographic showing various Rag Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

GenAI Context Engineer

System One

Pittsburgh, PA • On-site

Full-time

Re-posted 28 days ago

Job description

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

  • Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications.
  • Build and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks.
  • Develop ingestion pipelines for enterprise knowledge sources including SharePoint, Confluence, Jira, APIs, databases, and document repositories.
  • Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval relevance and AI response quality.
  • Implement permission aware retrieval and secure knowledge access aligned with enterprise governance and compliance requirements.
  • Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph capabilities.
  • Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise knowledge into scalable AI ready knowledge structures.
  • Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions.
  • Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows.
  • Support AI evaluation, observability, and continuous improvement initiatives for retrieval quality and search performance.
  • Work closely with governance, security, and compliance teams to ensure responsible and secure enterprise AI knowledge access.
  • Contribute to reusable enterprise knowledge engineering patterns and platform accelerators.
Required qualifications to be successful in this role
  • 6+ years of experience in knowledge engineering, enterprise search, data engineering, AI engineering, or platform engineering roles.
  • Experience building enterprise AI search or knowledge platforms in banking, financial services, healthcare, or other regulated industries.
  • Familiarity with knowledge graphs, ontology modeling, AI observability, and enterprise governance frameworks.
  • Understanding of responsible AI, groundedness evaluation, and enterprise compliance requirements for GenAI systems.
  • Hands on experience with Retrieval Augmented Generation (RAG), semantic search, embeddings, vector databases, and enterprise knowledge systems.
  • Strong programming skills in Python and experience with API based integrations.
  • Experience with GenAI and retrieval technologies such as: o Azure OpenAI / OpenAI o Azure AI Search o LangChain / Semantic Kernel o Elasticsearch / OpenSearch o Vector databases and embedding frameworks
  • Experience designing ingestion pipelines, metadata frameworks, chunking strategies, and contextual retrieval systems.
  • Strong understanding of enterprise data governance, access control, lineage, and permission aware retrieval. Experience integrating enterprise content systems including SharePoint, Confluence, Jira, document repositories, and enterprise APIs.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP and containerized environments.
  • Strong analytical, troubleshooting, and problem solving skills.
  • Excellent communication and collaboration skills with the ability to work across engineering, architecture, governance, and business teams.
Required Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Microsoft Azure AI Solution
  • OpenAI
  • Python
  • Retrieval-Augmented Gen.(RAG)
Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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