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Ai Rag Jobs in Philadelphia, PA (NOW HIRING)

SID Global Solutions

AI Lead Engineer

Exton, PA · On-site

$98K - $130K/yr

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

SID Global Solutions

AI Lead Developer

Exton, PA · 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 ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

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

Mintex Technology

Founding AI Engineer

Philadelphia, PA · On-site

$180K/yr

Founding AI / ML Engineer Location: Philadelphia, PA (Hybrid -3 days) - Remote Employment Type ... Build agentic orchestration and retrieval workflows, including RAG pipelines, fine-tuning, local ...

USCS

AI Platform Engineer

Camden, NJ · On-site

$140K - $150K/yr

You will create reusable AI services, enterprise knowledge solutions, Retrieval-Augmented Generation (RAG) systems, agents, MCP servers, workflow automations, and integrations with tools such as ...

United States Cold Storage

AI Platform Engineer

Camden, NJ · On-site

$140K - $150K/yr

You will create reusable AI services, enterprise knowledge solutions, Retrieval-Augmented Generation (RAG) systems, agents, MCP servers, workflow automations, and integrations with tools such as ...

SEI Investments

AI Architect

Oaks, PA · Hybrid

Design AI architectures endtoend ... RAG pipelines, agentic orchestration (multiagent, tool use, MCP), retrieval strategies, grounding ...

Abacum

AI Engineer

Barrington, NJ · Remote

Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system design through RAG pipelines. Qualifications * Bachelor's degree in Computer Science or a related field.

Holtec International

AI Engineer

Camden, NJ · On-site

$120K - $140K/yr

The AI Engineer designs and builds intelligent applications powered by Large Language Models (LLMs ... Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging engineering ...

Xactus

AI Engineer

Broomall, PA · On-site +1

SUMMARY: The AI Engineer (GenAI Features) specializes in designing, building, and deploying ... RAG & GraphRAG Architecture: Design and implement retrieval-augmented generation systems using ...

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Showing results 21-40

All JobsAi Rag JobsAi Rag Jobs in Philadelphia, PA

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 Aug 8, 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 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 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 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 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 are popular job titles related to Ai Rag jobs in Philadelphia, PA? For Ai Rag jobs in Philadelphia, PA, the most frequently searched job titles are:
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:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Philadelphia, PA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $58,775 per year, or $28.3 per hour.

AI Lead Engineer

SID Global Solutions

Exton, PA • On-site

$98K - $130K/yr

Other

Re-posted 9 days ago

Job description

AI Lead Engineer

Location: Exton, PA Onsite
Employment Type: Full-Time
We are seeking a hands-on AI Lead Developer to architect, build, and deploy enterprise-scale Agentic AI, Generative AI, and Multi-Agent Solutions. This role requires strong expertise in AI architecture, LLM-powered applications, cloud-native deployments, and scalable AI platforms.

The ideal candidate will lead the development of intelligent AI systems while mentoring engineering teams and driving AI innovation across the organization.

Career Growth Opportunity

This role is designed to evolve into a leadership position with the opportunity to grow into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability development across global teams.

Key Responsibilities

  • Design and develop enterprise-grade Agentic AI and Generative AI solutions.
  • Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, and related frameworks.
  • Develop RAG-based applications leveraging vector databases and enterprise knowledge sources.
  • Build scalable APIs and AI microservices using Python, FastAPI, and cloud-native architectures.
  • Deploy AI solutions on AWS, Azure, or Google Cloud Platform using Docker, Kubernetes, and CI/CD pipelines.
  • Implement AI security, governance, observability, and guardrails.
  • Collaborate with business, product, and engineering teams to deliver AI-driven solutions.
  • Conduct code reviews, mentor engineers, and contribute to AI architecture and roadmap planning.

Required Skills

  • 10+ years of software engineering experience with 4+ years in AI/GenAI solutions.
  • Strong Python development experience with FastAPI or Flask.
  • Hands-on experience with:
    • LangChain
    • LangGraph
    • AutoGen
    • ADK
    • MCP (Model Context Protocol)
    • Multi-Agent Architectures
  • Experience building RAG pipelines, embeddings, prompt engineering, and vector search solutions.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Azure AI Search.
  • Strong knowledge of REST APIs, microservices, distributed systems, and cloud platforms (AWS/Azure/Google Cloud Platform).
  • Experience with Docker, Kubernetes, Redis, Kafka, and AI application deployment.
  • Strong understanding of AI security, memory management, scalability, and production AI systems.

Preferred Skills

  • Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models.
  • Knowledge of MLOps, AI evaluation frameworks, and AI governance.
  • Experience with Spark, Kafka, and large-scale AI platforms.
  • Prior experience leading AI initiatives and mentoring engineering teams.

Apply