6 of 6 Contract CrewAI Jobs in the South East

Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

autonomous agents. Python: Expert-level production Python (FastAPI, Pydantic, asyncio, pytest, packaging). Agentic Frameworks: Hands-on experience with frameworks such as LangGraph, AutoGen, CrewAI, or native agent SDKs. Data & Cloud: Advanced SQL, cloud data warehouse proficiency (Snowflake preferred), Docker, Git, CI/CD, and AWS deployment. Visualization: Solid experience ...

easily scalable across the region. Skills & Experience Proven experience building AI agents, agentic workflows, and multi-agent systems using tools such as LangChain, CrewAI, StackAI, or similar frameworks. Strong experience with Anthropic Claude, OpenAI APIs, RAG architectures, and vector databases (Pinecone, Chroma, etc.). Hands-on experience with Model Context ...

7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice ...

engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience with ...

Master's degree or PhD in Artificial Intelligence, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost ...