> Markdown version of [/jobs/ext/2219956-ai-ml-engineer-with-react-full-stack](https://www.wearedevelopers.com/jobs/ext/2219956-ai-ml-engineer-with-react-full-stack). 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).

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# AI/ML Engineer with React - Full Stack

- **Company:** Trebecon LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cascading Style Sheets (CSS), Databases, Continuous Integration, Data Cleansing, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, Natural Language Processing, Node.Js, Cloud Services, TypeScript, Data Logging, Google Cloud, Feature Engineering, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Backend, Git, Fastapi, Information Technology, Restful APIs, Docker, Microservices
- **Published:** August 25, 2026
- **Apply:** https://www.dice.com/job-detail/ab4ac53a-d914-4cd1-a2af-e451fd1a277d

## About the Role

8+ years of relevant IT experience.
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Strong hands-on experience with Python and Machine Learning.
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Strong experience with React.js and full-stack application development.
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Proficiency in JavaScript/TypeScript, HTML, and CSS.
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Experience building and consuming REST APIs.
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Strong understanding of Machine Learning algorithms, NLP, Generative AI, and AI/ML concepts.
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Hands-on experience with LLMs, RAG, LangChain or LlamaIndex, embeddings, and vector databases.
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Experience with databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
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Experience with Git, Docker, CI/CD, and cloud deployments.

## Description

Develop backend services and RESTful APIs using Python, FastAPI, Flask, Node.js, or similar technologies.
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Work with Generative AI, Large Language Models (LLMs), RAG, prompt engineering, embeddings, and vector databases.
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Integrate AI/ML models into production applications using APIs and microservices.
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Develop reusable React components, dashboards, forms, and interactive UI features.
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Perform data preprocessing, feature engineering, model training, evaluation, and optimization.
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Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
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Collaborate with data scientists, software engineers, product teams, and business stakeholders.
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Implement authentication, authorization, logging, monitoring, and secure API integrations.


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