Hybrid GenAI Engineer: LLMs, Prompting & Orchestration

Smart IT Frame LLC; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Smart IT Frame LLC in New York is seeking an experienced AI Engineer to design and build scalable AI-powered solutions for enterprise apps. You will work with GenAI LLMs, prompt engineering, and multi-agent orchestration, deploying on AWS/Azure/GCP and integrating with enterprise systems.

You will develop applications in Python/Java/TypeScript, build data pipelines, and collaborate with cross-functional teams to deliver AI-enabled products in a hybrid onsite role.

Qualifications

• Strong programming experience in Python, Java or TypeScript.
• Handson experience with LLMs, GenAI frameworks and AI application development.
• Expertise in Prompt Engineering, Context Engineering and Agent Orchestration.
• Experience integrating REST APIs, SDKs and enterprise platforms.
• Cloud experience with AWS, Azure or GCP.

Responsibilities

• Develop applications using Python, Java or TypeScript.
• Build AI solutions leveraging LLMs, RAG, prompt engineering and context engineering.
• Design and implement agentic workflows and multiagent orchestration.
• Integrate AI models with enterprise systems through APIs and cloud services.
• Develop and maintain data pipelines, ETL processes and vector databases.
• Deploy and manage solutions on AWS, Azure or GCP.
• Collaborate with crossfunctional teams to deliver scalable AI-enabled products.

Skills

Python

Java

TypeScript

LLMs

GenAI frameworks

Prompt Engineering

Agent Orchestration

REST APIs

Tools

LangChain

LangGraph

LlamaIndex

MCP

Job description

Smart IT Frame LLC in New York is seeking an experienced AI Engineer to design and build scalable AI-powered solutions for enterprise apps. You will work with GenAI LLMs, prompt engineering, and multi-agent orchestration, deploying on AWS/Azure/GCP and integrating with enterprise systems.

You will develop applications in Python/Java/TypeScript, build data pipelines, and collaborate with cross-functional teams to deliver AI-enabled products in a hybrid onsite role.