> Markdown version of [/jobs/ext/3958695-ai-engineer-x5](https://www.wearedevelopers.com/jobs/ext/3958695-ai-engineer-x5). 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 x5

- **Company:** Aventis Solutions
- **Location:** Doral, FL, United States
- **Salary:** $120,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Structures, Python (Programming Language), Machine Learning, OpenAI, Software Deployment, Software Engineering, TypeScript, Web Analytics, Enterprise Data Management, Google Cloud, Cloud Platform System, Feature Engineering, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Kubernetes, Machine Learning Operations, Api Design, Google Gemini, Terraform, Software Version Control, Data Pipelines, Serverless Computing, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/77b6c03e-fbd8-4bdd-97af-dfde9a085f10/ai-engineer-x

## About the Role

* AI Engineering: Commercial experience building and deploying AI or machine learning applications, ideally within a production environment. You should be comfortable taking an idea from prototype through to a reliable, scalable solution.
\n

 * Generative AI & LLMs: Hands-on experience with LLM-based applications, including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar technologies. Experience with RAG, embeddings, vector databases, prompt engineering, AI agents, or tool calling is highly desirable.
\n

 * Python Development: Strong Python engineering skills with experience building APIs, services, data pipelines, AI applications, or machine learning systems.
\n

 * Modern Software Engineering: Strong understanding of software engineering fundamentals, version control, testing, APIs, cloud architecture, CI/CD, and production deployment. Experience with TypeScript, JavaScript, React, or similar technologies is a bonus.
\n

 * AI Application Architecture: Understanding of how to connect models to enterprise data, applications, APIs, and business workflows. You should understand that building effective AI products requires considerably more than simply calling an LLM API.
\n

 * Data & Machine Learning: Solid understanding of data structures, feature engineering, model evaluation, machine learning concepts, and analytical workflows. Experience working closely with data scientists and data engineers is highly valuable.
\n

 * Cloud & Infrastructure: Experience working with AWS, Azure, GCP, or equivalent cloud environments. Familiarity with Docker, Kubernetes, Terraform, CI/CD, or serverless architecture is advantageous.

## Description

As an AI Engineer, you'll be one of the people responsible for making that happen. You'll sit within a growing AI and Digital Analytics function, working alongside data scientists, engineers, analysts, product teams, and senior technology leaders to design, build, integrate, and deploy production-grade AI solutions across the organisation.