Associate Ai Agent Developer Jobs in Pennsylvania

Designand implement an AI agent using platforms like OpenAI, LangChain, orsimilar * Integratethe AI ... AI OR Crew.AI * Abilityto customize AI models via prompt engineering or fine-tuning

... an AI agent using platforms like OpenAI, LangChain, or similar Integrate the AI agent seamlessly ... AI OR Crew.AI Ability to customize AI models via prompt engineering or fine-tuning Good ...

Role Name - AI Agent Engineer-Security Operations (SOC Automation) ROLE_DESCRIPTION - Hands-on experience building AI agents using LLMs/ML for security use cases (alert triage, incident summarization ...

The Agentic AI Developer will design, build, and operationalize governed AI agent systems that autonomously plan, reason, and execute complex workflows across enterprise data and risk platforms.

Agentic AI Engineer (Financial Services) Pittsburgh, Pennsylvania, Cleveland, OH, or Dallas, TX ... Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server, or ...

Agentic AI Lead Engineer (Financial Services) Pittsburgh, Pennsylvania, Cleveland, OH, or Dallas ... Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server, or ...

They are seeking a Senior Associate, AI Engineer to develop AI applications and models, assist with data preparation, and integrate AI solutions into enterprise applications. Responsibilities : • ...

AI Engineer Job Location: Malvern, PA Job Type: Contract * Design, build, and optimize AI agents ... Continuously test, evaluate, and improve AI agent performance and reliability * Stay updated with ...

Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses

Carnegie Mellon University's Software Engineering Institute is seeking an Associate AI Security Researcher to pioneer new research areas impacting cybersecurity and AI. The role involves ...

... DevOps best practices for AI application deployment. • Containerize applications using Docker and deploy them on Kubernetes-based environments. • Monitor, troubleshoot, and optimize AI agent ...

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.

Create multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel. * Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses.