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Agentic AI Software Engineer - F2F Interview in NY

Intone Networks Inc.New York, NY🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This role offers an exciting opportunity to build cutting-edge AI applications and gain valuable experience in modern LLM frameworks. You'll thrive here if you are a mid-senior software engineer with strong Python, React, and TypeScript skills, eager to contribute to innovative AI solutions. Apply now to join a dynamic team and advance your career in the rapidly evolving AI landscape.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Agentic AI Software Engineer (LLM + React)

Location: New York, NY (Hybrid)
Duration: Long Term Contract
Interview: Onsite
 

Job Description

We are looking for an experienced Agentic AI Software Engineer to design and build enterprise-grade AI applications, copilots, and chatbot solutions. The ideal candidate should have strong experience in Python, React, TypeScript, and modern LLM frameworks with hands-on expertise in developing production-ready AI applications.

Required Skills

  • 3+ years of Software Engineering experience
  • Strong Python development experience
  • React, TypeScript, and Next.js
  • Experience with LLMs / Generative AI
  • LangChain, LangGraph, AutoGen, Google Agent SDK, or similar Agentic AI frameworks
  • Experience building AI Chatbots, Copilots, or AI Assistants
  • RAG (Retrieval-Augmented Generation)
  • Prompt Engineering
  • Function/Tool Calling
  • REST APIs
  • WebSockets or Server-Sent Events (SSE)

Preferred Skills

  • MongoDB, Redis, ClickHouse
  • Kubernetes / OpenShift
  • Docker
  • Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)
  • Cloud Platforms (AWS, Azure, Google Cloud Platform)

Responsibilities

  • Develop Agentic AI applications using Python and modern LLM frameworks.
  • Build responsive AI interfaces using React, Next.js, and TypeScript.
  • Design and implement RAG pipelines and tool-calling workflows.
  • Develop reusable UI components and AI experience layers.
  • Integrate AI applications with enterprise APIs, databases, and cloud infrastructure.
  • Collaborate with product, engineering, and business teams to deliver production-ready AI solutions.

Skills

Docker
MongoDB
Next.js
AWS
Azure
Generative AI
Google Cloud
Kubernetes
LLM
Python
REST
React
Redis
TypeScript

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