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Remote Retrieval Augmented Generation Jobs in Pennsylvania

Law School Admission Council

Software Engineer

Newtown, PA · On-site +1

$108K - $115K/yr

Help build and integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g ... Whether remote or in-office, this role routinely uses standard office equipment such as computers ...

Law School Admission Council

Product Manager

Newtown, PA · On-site +1

$105K - $118K/yr

Pay rate: $105,000 to $118,000, depending on experience - This is a remote position. The Prelaw Engagement team supports individuals interested in a career in law - and those who support them ...

Purple Drive

Agent Builder (Amazon Bedrock)

Malvern, PA · Remote

$14.50 - $19.25/hr

Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data. * Integrate agents with APIs, enterprise applications, and AWS services. * Perform prompt engineering, testing, and ...

SEI Investments

Lead Data Scientist

Oaks, PA · On-site +1

RAG (Retrieval-Augmented Generation) platforms * Conversational AI and enterprise chatbots * AI copilots and virtual assistants * Multi-agent and agentic AI systems * Knowledge discovery and search ...

Xactus LLC

AI Engineer

Broomall, PA · Remote

$175K - $190K/yr

Design and implement retrieval-augmented generation systems using semantic search and vector ... The position may be remote from main offices. * May require flexibility in hours. PHYSICAL DEMANDS:

Xactus

AI Engineer

Broomall, PA · On-site +1

Design and implement retrieval-augmented generation systems using semantic search and vector ... The position may be remote from main offices. * May require flexibility in hours. PHYSICAL DEMANDS:

Geisinger Health

Senior Platform Data Engineer

Danville, PA · On-site +1

$121K - $164K/yr

Owns RAG Infrastructure, the shared retrieval-augmented generation platform that agentic and generative AI programs use to ground LLM outputs in organizational knowledge. * Designs and operates ...

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Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Pennsylvania?

The most popular types of Retrieval Augmented Generation jobs in Pennsylvania are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Pennsylvania?

For Remote Retrieval Augmented Generation jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Pennsylvania look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Retrieval Augmented Generation jobs?

Cities in Pennsylvania with the most Remote Retrieval Augmented Generation job openings:

Remote Retrieval Augmented Generation jobs near you

Software Engineer

Law School Admission Council

Newtown, PA • On-site, Remote

$108K - $115K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Collaborate with partners to design, configure, maintain, and promote applications while ensuring accessibility standards.

  • Monitor, test, and optimize software to ensure reliability and adherence to architectural standards.

  • Contribute to continuous code delivery, build and maintain scalable applications, and develop Generative AI features using Azure OpenAI Service and related APIs.

Job description

Overview
LSAC's mission is to advance law and justice by promoting access, equity, and fairness in law school admission, to broaden the pathway into legal education, and to support law schools, law students, and the legal education community.
Pay Rate: $108,000 to $115,000, depending on experience
We are seeking a full stack engineer to join our team. You will work as part of an autonomous agile team to develop features and applications to meet the needs of your product area. We are looking for a candidate with deep understanding of engineering best practices and a strong agile mindset. In addition, this position will be responsible for operational maintenance, troubleshooting and support of applicable backend systems. We will rely heavily on web-based services, and you will have the opportunity to work with new and interesting technology.
This role also contributes to LSAC's growing use of Generative AI. LSAC currently uses GitHub Copilot as its primary AI-assisted development tool, and you will use it and comparable AI-assisted development tools as part of your daily workflow, and may help build features that incorporate Azure OpenAI Service, large language models (LLMs), and Retrieval-Augmented Generation (RAG) to enhance LSAC products and internal tooling, always in line with Responsible AI practices.
Responsibilities
Essential Job Functions
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position. The individual employed in this position will be required to:
  • Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications, while ensuring compliance with accessibility standards
  • Continuously monitor, test, and optimize software while ensuring application reliability and coding to architectural standards.
  • Contributes as part of the team to continuous code delivery with deployment tools and automated testing.
  • Scale software to support dynamic teams in a fast-paced environment.
  • Build and maintain scalable applications.
  • Collaborate with software engineers, product managers, analysts, and stakeholders to deliver solutions that meet customer expectations.
  • Use GitHub Copilot and other AI-assisted development tools to accelerate coding, testing, and debugging, following team prompting standards and code-review practices for AI-generated code.
  • Contribute to the design and development of Generative AI features, such as chat interfaces, document summarization, intelligent search, and automated content generation, using Azure OpenAI Service and related APIs.
  • Help build and integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Azure AI Search, Pinecone, pgvector) to ground AI outputs in enterprise data.
  • Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review, when building or maintaining AI-powered features.

Competencies
  • Excellent time management, prioritization, attention to detail and organization skills
  • Values the success of the team over personal objectives.
  • Experience working in a high precision environment to ensure highest accuracy of work products.
  • Ability to listen to stakeholders and form solutions.
  • Comfortable working in an agile environment and are comfortable challenging yourself and your team to improve their ways of working.
  • Excellent communication skills, both written and verbal as well as experience with MS Teams
  • Proven ability as a servant leader.
  • Experience working with confidential data a plus. Must be able to ensure confidentiality of products and data.
  • Must be able to work effectively on a cross-disciplinary team.
  • Working knowledge of GitHub Copilot (LSAC's current AI-assisted development tool) or comparable AI coding assistants, including writing effective prompts and reviewing AI-generated code for quality and security.
  • Familiarity with Generative AI / LLM concepts, including Azure OpenAI Service, prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.
  • Awareness of Responsible AI principles, including bias, PII handling, and content safety, in AI-assisted development.

Qualifications
Education and Experience
  • Bachelor's degree in a relevant field such as computer science, engineering, or similar or a minimum of 5 years of experience required.
  • Experience with a variety of object-oriented languages.
  • Experience with web and cross platform technologies.
  • Hands-on experience with Git and code management methodologies.
  • Experience with continuous delivery and automated testing.
  • Experience with relational and unstructured data repositories.
  • Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies.
  • Experience in the following areas are required:
    • React
    • MS VB and C# .NET frameworks, including Web Forms and Windows Forms, .NET , .NET WEB API, Entity Framework 6.4, MVC Pattern, SPA Framework
    • JavaScript and frameworks (React JS)
    • Microsoft SQL Server and Oracle. Stored Procedures/Scripts
    • Azure stack: Azure functions, Azure Data Factory, Azure Storage Account, Azure Key Vault, Azure Cosmos db, Service bus, Azure App Service, Azure VMs, Azure Table Storage, etc.
    • Azure DevOps CI/CD
  • Experience with any of the following disciplines is a plus:
    • Dapper
    • RESTful API, Web API
    • Web Content Accessibility Guidelines (WCAG) 2.1 and ARIA standards
    • Power BI
    • Selenium or comparable automated testing frameworks
    • (Preferred) Azure AI certification (AI-102 Azure AI Engineer Associate) or Microsoft Certified: Azure OpenAI certification, or equivalent demonstrated proficiency
    • (Preferred) Coursework, certifications, or project experience in machine learning fundamentals, natural language processing, or applied AI/ML (e.g., DeepLearning.AI, fast.ai, Coursera ML Specialization)
  • Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies.

Supervisory Responsibilities
This role does not have people management responsibilities.
Position Type
The LSAC standard business hours are Monday-Friday, 8:30 a.m. - 4:45 p.m. ET. While these are the standard office hours for LSAC, as an exempt employee, the employee will be expected to work the hours necessary to satisfactorily complete their assignments in a responsible and professional manner.
Work Environment
This job operates in a remote and professional office environment. Whether remote or in-office, this role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
Travel Requirements
There is no travel expected for this position.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee must regularly write, read, and communicate effectively.
Special Conditions or Requirements
The ability to work weekends may be necessary.
Additional Information:
Please note that this job description may not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Job responsibilities may change at any time with or without notice.
Except as otherwise provided by law, all terms of employment are subject on an at-will basis and can change at any time.
At LSAC we foster a culture based on our stated values and actively seek to broaden our pipeline of current and future leaders. We are committed to attracting, retaining, and developing individuals who have a passion for the work they do and the mission of LSAC. We encourage all qualified individuals to apply. We recognize that experience comes from a variety of places and know that job applicants will possess many, but not necessarily all, of the qualities listed in the job description. While no one candidate will embody every single quality, the successful candidate will exemplify a robust combination of the skills and competencies listed to excel in the position. LSAC is an Equal Opportunity Employer and welcomes applications from individuals from all identities and backgrounds.

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