Agentic AI protocols jobs

Seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.

Responsibilities

Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.
Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related quantitative field
Nice to have: Model Context Protocol (MCP)
Nice to have: LangGraph
Nice to have: AutoGen
Nice to have: MLOps best practices

Skills

Python SQL LLM/SLM APIs

Agentic AI protocols jobs

Responsibilities

Requirements

Skills

Compensation

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Benefits