Remote Generative AI Engineer – LLM & Agentic Systems

Computer Task Group; United States; Remote; USD 90,000 - 96,000; Full time

Job summary

CTG is seeking a Generative AI Engineer for remote work to design, develop, and deploy production-grade AI applications leveraging LLMs and agentic architectures. You will build RAG pipelines, agent workflows, and tool integrations with LangGraph, LangChain, and MCP, while delivering scalable backend services with Python, TypeScript, FastAPI, and React.

Ideal candidates will have deep knowledge of AWS/GCP, multi-tenant cloud platforms, and strong CI/CD, DevSecOps, and governance practices to

Qualifications

• Proven experience designing and deploying production-grade Generative AI applications.
• Experience with LLM-based development, RAG, and agentic systems.
• Strong background in cloud-native architectures and multi-tenant platforms.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications using LLMs and agentic architectures.
• Build RAG pipelines, agent workflows, and tool integrations with LangGraph, LangChain, and MCP.
• Develop scalable back-end services, APIs, and front-end apps using Python, TypeScript, FastAPI, and React.
• Build and maintain secure, multi-tenant AI platforms across AWS and GCP.
• Implement AI evaluation, observability, security controls, governance, and monitoring.
• Lead end-to-end CI/CD, authentication, deployment, and support across stacks.
• Troubleshoot issues and provide cloud/database/integration guidance across teams.
• Collaborate with cross-functional teams to improve AI performance and reliability.

Skills

Generative AI

LLM development

RAG pipelines

Multi-agent systems

Python

TypeScript

FastAPI

React

AWS & GCP

CI/CD & DevSecOps

Observability & security

Education

Bachelor's degree or equivalent

Tools

LangGraph

LangChain

MCP

Job description

CTG is seeking a Generative AI Engineer for remote work to design, develop, and deploy production-grade AI applications leveraging LLMs and agentic architectures. You will build RAG pipelines, agent workflows, and tool integrations with LangGraph, LangChain, and MCP, while delivering scalable backend services with Python, TypeScript, FastAPI, and React.

Ideal candidates will have deep knowledge of AWS/GCP, multi-tenant cloud platforms, and strong CI/CD, DevSecOps, and governance practices to