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# Senior AI Engineer (3 Openings)

- **Company:** Techgroup America Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Github, Python (Programming Language), Machine Learning, Routing, Rapid Prototyping Process, Selenium, Software Engineering, Google Cloud, ReactJS, Large Language Models, Generative AI, Backend
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/d0169c1c-6886-4ad5-9e81-89df824034c4

## About the Role

Seeking a hands-on Senior AI Engineer with strong experience in Generative AI, LLM application development, Python, and Full-Stack Engineering.

The role involves building AI-powered prototypes and Proof of Concepts (POCs) to solve business problems using existing LLMs and emerging AI technologies. Candidates should be capable of independently designing and developing end-to-end applications and presenting solutions to business stakeholders., * Strong hands-on experience with Generative AI and LLMs.

 * Excellent Python development skills.
 * Full-stack development experience, particularly React.
 * LLM integration, model routing, and AI frameworks.
 * Knowledge of AWS, Azure, or Google Cloud Platform.
 * Experience building end-to-end AI applications and POCs.
 * Strong technical architecture and problem-solving skills.
 * Excellent communication and presentation skills.

Preferred Skills

 * Healthcare industry experience.
 * Selenium or browser automation experience.
 * Experience with AI innovation, R&D, or rapid prototyping.
 * GitHub portfolio showcasing AI projects., A hands-on AI Engineer who can understand business problems, select appropriate AI technologies, build working prototypes, and present solutions effectively.

## Description

* Design and develop GenAI applications, prototypes, and POCs.
 * Build AI/backend solutions using Python and frontend applications using React.
 * Integrate existing LLMs and implement model routing.
 * Evaluate new AI models, frameworks, and cloud technologies.
 * Translate business requirements into AI-powered solutions.
 * Develop demos and presentations to showcase solutions.
 * Manage multiple projects independently and collaborate with implementation teams.