> Markdown version of [/jobs/ext/1959134-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1959134-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).

---

# AI Engineer

- **Company:** Gstate Consulting Llc
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Performance Management, Microsoft Azure, Business Software, Computer Programming, Python (Programming Language), Machine Learning, Google Cloud, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, Git, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, GPT, Automation Anywhere, Docker, Microservices
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/b54399d1-3543-4099-8b35-e61d309ef12c

## About the Role

* 3+ years of experience in AI, Machine Learning, or Generative AI.
 * Strong programming experience in Python.
 * Experience with Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama.
 * Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
 * Experience with AI frameworks such as LangChain or LangGraph is a plus.
 * Familiarity with vector databases like Pinecone, Chroma, Weaviate, or FAISS.
 * Experience developing REST APIs or microservices.
 * Hands-on experience with AWS, Azure, or Google Cloud Platform.
 * Knowledge of Git, Docker, and Kubernetes is preferred.
 * Strong analytical, communication, and problem-solving skills., * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 * Experience with MLOps or AI model deployment is a plus.

## Description

* Design, develop, and maintain AI and Generative AI applications.
 * Build and integrate LLM-based solutions into business applications.
 * Develop and optimize RAG pipelines and AI workflows.
 * Collaborate with developers, architects, and business teams.
 * Deploy and support AI applications in cloud environments.
 * Troubleshoot issues and improve application performance.
 * Stay updated with the latest AI and Generative AI technologies.


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai)
- [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands)
- [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [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)
- [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)