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Ai Rag Jobs in Philadelphia, PA (NOW HIRING)

Python Gen AI

Philadelphia, PA ยท On-site

$50.75 - $70/hr

Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding). Build agentic workflows (tool use, planning, reflection/guardrails ...

New

AI/ML Engineer - Remote

Philadelphia, PA ยท 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 ...

About the role, as a Senior Machine Learning Engineer you'll work onAI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrievalwhile enforcingcontent ...

Senior ML Ops Engineer

Philadelphia, PA ยท On-site

$112K - $179K/yr

About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing ...

Senior ML Ops Engineer

Philadelphia, PA ยท On-site

$112K - $179K/yr

About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing ...

Senior ML Ops Engineer

Philadelphia, PA ยท On-site

$112K - $179K/yr

About the role, as a Senior Machine Learning Engineer you'll work onAI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrievalwhile enforcingcontent ...

Senior AI Engineer

Philadelphia, PA ยท 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 ...

Principal AI Engineer

Norristown, PA ยท 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 ...

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 ...

Principal AI Engineer

Norristown, PA ยท 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 ...

AI/ML Eng

Malvern, PA ยท On-site

Develop RAG-based applications using LangChain and LangGraph . * Design and implement AI agents, workflows, and multi-agent solutions . * Work with Claude Code for AI-assisted development and ...

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 ...

Applied AI Engineer

Conshohocken, PA ยท On-site

$75 - $80/hr

Implement agent memory, context management, RAG retrieval strategies, and orchestration patterns to support scalable AI architecture. * Design and deploy reusable AI components, skills, and agent ...

AI Lead Developer

Exton, PA ยท On-site

$57 - $74.50/hr

Develop RAG-based applications leveraging vector databases andenterprise knowledge sources. * Build scalable APIs and AI microservices using Python, FastAPI, andcloud-native architectures. * Deploy ...

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Showing results 1-20

Ai Rag information

See Philadelphia, PA salary details

$32.3K

$58.8K

$84.3K

How much do ai rag jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai rag in Philadelphia, PA is $58,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $65,600.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What job categories do people searching Ai Rag jobs in Philadelphia, PA look for?

The top searched job categories for Ai Rag jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Ai Rag jobs?

Cities near Philadelphia, PA with the most Ai Rag job openings:

Infographic showing various Ai Rag job openings in Philadelphia, PA as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 62% Physical, 5% Hybrid, and 33% Remote job distribution, with an average salary of $58,775 per year, or $28.3 per hour.

Python Gen AI

Philadelphia, PA โ€ข On-site

BeaconFire Inc.
IT Servicesย โ€ขย 201 - 500 employees

$50.75 - $70/hr

Other

Posted 3 days ago

New


Job description

Hi, I hope you're doing well! Weโ€™re currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.


BeaconFire is based in Central NJ, specializing in Software Development, Web Development

and Business Intelligence; looking for a strong agentic AI developer who can build and

productionize Vertex AIโ€“based RAG systems (Vertex AI Search / Vertex AI RAG patterns),

design reliable tool-using agents, and work comfortably with vector databases and graph

databases. Youโ€™ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation,

and deployment.


Job Responsibilities:


Collaborate with the team to design and develop high quality Web applications using

Python, Flask, Django, and related technologies.

Write clean and efficient code, and ensure code maintainability and reusability.

Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking,

embeddings, indexing, retrieval, reranking, grounding).

Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs)

using Python-first frameworks.

Perform code reviews to ensure code quality and consistency.

Conduct testing to ensure application quality and reliability.

Create and maintain technical documentation for web applications.

Participate in project planning, estimation, and prioritization.

Stay up to date with the latest technologies for Python development.

Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding

checks), and improve system quality iteratively.

Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD,

and security best practices.


Requirement:

Experience in software development in Python3.

Decent understanding of the software development/testing life cycle.

Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills

Experience with version control tools, such as Git.

Experience building RAG solutions (hybrid search, reranking, chunking strategies,

embeddings, prompt + schema design).

Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,

Semantic Kernel, AutoGen) and tool/function calling patterns.

Solid knowledge of vector search concepts and at least one vector DB in production.

Strong engineering practices: code reviews, testing, telemetry, secure-by-design,

reliability mindset.



Preferred Qualifications:


Masterโ€™s Degree in Computer Science, Software Engineering, or related field.

1+ year professional experience in Python web application development with either

Flask or Django.

Experience in RESTful API development in Python.

Understanding of Python web application frameworks such as Flask or Django.

Experience with Cloud services, such as AWS.

Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud

Run/GKE, storage).

Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).

Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and

multilingual retrieval.

Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),

prompt/version management.

Frontend integration (basic React/Next.js) or platform enablement (internal developer

tooling).


If you're currently exploring opportunities or open to learning more, Iโ€™d love to connect. Please feel free to share your updated resume or reach out directly at rameezk@beaconfireinc.com


Rameez Khan

Technical Recruiter

Beaconfire