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Retrieval Augmented Generation Rag Jobs in Pennsylvania

Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases. * Create AI agents and workflow automation solutions. * Fine-tune, evaluate, and optimize AI models for performance and ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

The role focuses on Retrieval Augmented Generation (RAG), semantic search, vector databases, metadata engineering, and enterprise knowledge orchestration to deliver secure, accurate, and context ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

GenAI Ops Solution Architect

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 ...

GenAI Ops Solution Architect

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 ...

GenAI Ops Solution Architect

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 ...

Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows * Understanding of: * LLM integration and orchestration * Embeddings and vector search * Retrieval ...

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AI Engineer Only on W2 USC

Bridge Flair LLC

Malvern, PA • On-site

Other

Posted 9 days ago


Job description

We are seeking a highly skilled AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The ideal candidate will have experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms, and modern AI frameworks. You will work closely with cross-functional teams to build scalable AI solutions that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy AI/ML and Generative AI applications.
  • Build and optimize LLM-powered solutions using OpenAI, Claude, Gemini, or similar models.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Create AI agents and workflow automation solutions.
  • Fine-tune, evaluate, and optimize AI models for performance and accuracy.
  • Build RESTful APIs and microservices to integrate AI capabilities into enterprise applications.
  • Develop data preprocessing and feature engineering pipelines.
  • Collaborate with data scientists, software engineers, and product teams.
  • Deploy AI solutions on AWS, Azure, or Google Cloud Platform.
  • Monitor, troubleshoot, and optimize AI applications in production.
  • Follow MLOps best practices for model deployment, monitoring, and lifecycle management.
Required SkillsProgramming Languages
  • Python (Required)
  • Java (Preferred)
  • SQL
AI & Machine Learning
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Agents
  • Fine-Tuning
  • Model Evaluation
AI Frameworks & Libraries
  • LangChain
  • LangGraph
  • LlamaIndex
  • Hugging Face Transformers
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini API
RAG & Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • Pinecone
  • Weaviate
  • ChromaDB
  • FAISS
  • Milvus
Cloud Platforms
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
Databases
  • PostgreSQL
  • MongoDB
  • MySQL
  • Redis
DevOps & MLOps
  • Docker
  • Kubernetes
  • Git
  • GitHub/GitLab
  • Jenkins
  • MLflow
  • Kubeflow
  • CI/CD Pipelines
API & Backend
  • FastAPI
  • Flask
  • REST APIs
  • GraphQL
  • Microservices
Qualifications
  • Bachelor''''''''s or Master''''''''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 6+ years of software engineering experience with at least 2+ years in AI/ML or Generative AI.
  • Strong proficiency in Python programming.
  • Experience building and deploying production-grade AI applications.
  • Hands-on experience with LLMs, RAG, and prompt engineering.
  • Experience with cloud platforms and containerization technologies.
  • Excellent analytical, problem-solving, and communication skills.