> Markdown version of [/jobs/ext/2448233-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2448233-generative-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Generative AI Engineer

- **Company:** Ascii Group, LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Fastapi, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Restful APIs, Docker, Microservices
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/c5818bbd-5f5c-4bbf-8869-66eec86466e3

## About the Role

We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions., · Develop LangChain and LangGraph workflows with multi-agent orchestration, memory, routing, guardrails, and MCP tools.

· Build scalable LLM/ML pipelines with LLMOps/MLOps, CI/CD, monitoring, and evaluation.

· Develop FastAPI/REST microservices using Python, Docker, Kubernetes, and Pydantic.

· Deploy and manage AI solutions across AWS, Google Cloud Platform, and Azure cloud platforms.

· Implement LLM fine-tuning using LoRA, QLoRA, and PEFT.

· Optimize LLM inference and AI services for high-performance, scalable enterprise applications.

Must-Have Skills

· GenAI

· Agentic AI

· vLLM

· FastAPI

· REST API

· MCP (Model Context Protocol)

· LangGraph

· LangChain

· Graph RAG

· MLOps / LLMOps

· Python

· Machine Learning

· Data Science

· RAG

· LLM

## Description

· Design and develop Generative AI and Agentic AI applications for enterprise use cases.


## Related Videos

- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)