Remote Senior AI Engineer: LLM & Agentic AI Architect

Intive; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Udemy access

Mentorship program

Learning & Development

Remote work option

Career progression

Job summary

intive is seeking a senior AI software engineer to design and deploy Agentic AI solutions, including LLM-powered applications, RAG architectures, and multi-agent systems. You will integrate with enterprise platforms, create backend services, and manage vector databases for AI-driven workflows.

Applicants should have 7+ years in software engineering with production LLM experience, and strong backend skills in Python frameworks such as FastAPI or Flask, plus cloud deployment in AWS/Azure/GCP.

Qualifications

• 7+ years of experience in software engineering, with strong experience designing and delivering AI-powered applications.
• Proven experience building solutions with Large Language Models (LLMs) in production environments.
• Hands-on experience designing and implementing Agentic AI applications using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK (or equivalent)
• Strong experience designing and implementing RAG architectures and knowledge retrieval systems.
• Experience working with vector databases such as Pinecone, Weaviate, ChromaDB, Milvus, pgvector, or similar technologies.
• Experience with relational SQL databases.
• Experience developing and consuming REST APIs.
• Strong backend development experience using FastAPI (preferred), Flask, or similar Python frameworks.
• Experience integrating AI services and external APIs into enterprise applications.
• Experience deploying cloud-native solutions in AWS (preferred), Azure, or Google Cloud Platform.

Responsibilities

• Design and develop Agentic AI solutions that solve complex business problems and deliver measurable value.
• Build, deploy, and maintain production-ready AI applications powered by Large Language Models (LLMs).
• Design and implement Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval pipelines.
• Build and orchestrate multi-agent systems using modern Agentic AI frameworks.
• Integrate AI services and agents with enterprise platforms, internal tools, and third-party applications.
• Develop backend services and APIs using FastAPI, Flask, or similar technologies.
• Work with SQL and vector databases to support AI-driven applications and retrieval workflows.
• Implement memory management, tool calling, and human-in-the-loop workflows for AI agents.
• Ensure scalability, security, reliability, and maintainability of AI solutions in production environments.

Skills

LLM production

Agentic AI

LangGraph

CrewAI

AutoGen

Semantic Kernel

OpenAI Agents SDK

RAG architecture

Vector databases

Pinecone

Weaviate

ChromaDB

Milvus

pgvector

SQL

REST APIs

FastAPI

Python

AWS

Azure

GCP

Backend development

Tools

FastAPI

Flask

SQL databases

Job description

intive is seeking a senior AI software engineer to design and deploy Agentic AI solutions, including LLM-powered applications, RAG architectures, and multi-agent systems. You will integrate with enterprise platforms, create backend services, and manage vector databases for AI-driven workflows.

Applicants should have 7+ years in software engineering with production LLM experience, and strong backend skills in Python frameworks such as FastAPI or Flask, plus cloud deployment in AWS/Azure/GCP.